{smcl}
{txt}{sf}{ul off}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\mjoshi2\Box\2023 Research\NEPAL RESEARCH\Nepal court conflict research\Paper2\Political Geography\RR1\Replication\Final Data\Joshi_2024_PGReplications.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}18 Dec 2023, 09:48:34
{txt}
{com}. set seed 123456
{txt}
{com}. sort sno year
{txt}
{com}. 
{txt}end of do-file

{com}. do "C:\Users\mjoshi2\AppData\Local\Temp\STD2fec_000000.tmp"
{txt}
{com}.  
.  
. //correlations
.  corr total_court_cases L.total_court_cases total_civil_cases lag_civil_cases  total_criminal_cases lag_criminal_cases ln_cum_state_victims  ln_cum_maoist_victims peoples_govt_active  /*
>  */ln_newNGOs ln_pop percent_votes1991_1999_GAP litrate_1991_2001_GAP road_density_GAP  /*
>  */ln_abs_total2001 hilli_region mountain_region region_east region_mid region_west region_farwest year2002 if year>1995 & year<2007
{txt}(obs=825)

             {c |}                 L.                                                                                                   
             {c |} t~ourt~s t~ourt~s t~ivil~s lag_ci~s t~rimi~s lag_cr~s l~stat~s l~maoi~s people~e ln_new~s   ln_pop percen~P litrat~P
{hline 13}{c +}{hline 117}
total_cour~s {c |}
         --. {c |}{res}   1.0000
         {txt}L1. {c |}{res}   0.9834   1.0000
{txt}total_civi~s {c |}{res}   0.9881   0.9748   1.0000
{txt}lag_civil_~s {c |}{res}   0.9705   0.9890   0.9795   1.0000
{txt}total_crim~s {c |}{res}   0.9557   0.9337   0.8990   0.8881   1.0000
{txt}lag_crimin~s {c |}{res}   0.9452   0.9571   0.9027   0.9037   0.9629   1.0000
{txt}ln_cum_sta~s {c |}{res}  -0.1511  -0.1399  -0.1400  -0.1231  -0.1620  -0.1639   1.0000
{txt}ln_cum_mao~s {c |}{res}  -0.1369  -0.1241  -0.1221  -0.1028  -0.1560  -0.1578   0.9479   1.0000
{txt}peoples_go~e {c |}{res}  -0.2270  -0.2051  -0.2058  -0.1780  -0.2523  -0.2450   0.7092   0.7157   1.0000
  {txt}ln_newNGOs {c |}{res}   0.6317   0.6258   0.6108   0.6015   0.6293   0.6329  -0.0064   0.0039  -0.1273   1.0000
      {txt}ln_pop {c |}{res}   0.5606   0.5737   0.5593   0.5685   0.5254   0.5470   0.1770   0.2071   0.0748   0.6862   1.0000
{txt}percent_vo~P {c |}{res}   0.2205   0.2292   0.2421   0.2474   0.1645   0.1789  -0.0664  -0.0382  -0.0312   0.2072   0.2318   1.0000
{txt}litrate_19~P {c |}{res}   0.2486   0.2418   0.1899   0.1850   0.3442   0.3376  -0.1084  -0.0836  -0.0752   0.3250   0.2679  -0.0246   1.0000
{txt}road_densi~P {c |}{res}   0.7040   0.6895   0.6698   0.6574   0.7221   0.7080  -0.0566  -0.0542  -0.1582   0.5896   0.4104   0.1306   0.4783
{txt}ln_abs_~2001 {c |}{res}   0.1838   0.1889   0.1577   0.1616   0.2214   0.2303   0.0522   0.0708   0.0693   0.3754   0.6592  -0.0836   0.4141
{txt}hilli_region {c |}{res}  -0.2535  -0.2695  -0.2936  -0.3064  -0.1598  -0.1800   0.1304   0.1138   0.0978  -0.0298   0.0181  -0.3380   0.2719
{txt}mountain_r~n {c |}{res}  -0.2495  -0.2532  -0.2447  -0.2452  -0.2420  -0.2525  -0.1436  -0.1477  -0.0546  -0.3960  -0.6469   0.0011  -0.2446
 {txt}region_east {c |}{res}   0.0690   0.0787   0.0563   0.0625   0.0886   0.1051  -0.0995  -0.0850   0.0101  -0.0996   0.0930   0.1194   0.2405
  {txt}region_mid {c |}{res}   0.3380   0.3320   0.3556   0.3488   0.2816   0.2776  -0.0393   0.0042  -0.0589   0.4190   0.2779   0.1422  -0.0325
 {txt}region_west {c |}{res}  -0.0815  -0.0774  -0.0833  -0.0785  -0.0728  -0.0703  -0.1060  -0.0795   0.0040  -0.0763  -0.1084  -0.1139   0.3226
{txt}region_far~t {c |}{res}  -0.1977  -0.2037  -0.2010  -0.2048  -0.1780  -0.1883  -0.0126  -0.0641  -0.0153  -0.0569  -0.0532  -0.2059  -0.1865
    {txt}year2002 {c |}{res}  -0.0995  -0.1020  -0.0759  -0.0735  -0.1378  -0.1514   0.7595   0.7626   0.7337  -0.0796   0.0557  -0.0119  -0.0000

             {txt}{c |}                                                                                  
             {c |} road_d~P ln_~2001 hilli_~n mounta~n regi~ast region~d re~_west re~rwest year2002
{hline 13}{c +}{hline 81}
road_densi~P {c |}{res}   1.0000
{txt}ln_abs_~2001 {c |}{res}   0.1387   1.0000
{txt}hilli_region {c |}{res}   0.0771   0.2267   1.0000
{txt}mountain_r~n {c |}{res}  -0.2627  -0.4782  -0.4895   1.0000
 {txt}region_east {c |}{res}  -0.0667   0.0434  -0.0348   0.0195   1.0000
  {txt}region_mid {c |}{res}   0.4516  -0.1458  -0.0696  -0.1857  -0.3033   1.0000
 {txt}region_west {c |}{res}  -0.1236   0.3303   0.1609  -0.0665  -0.2712  -0.3033   1.0000
{txt}region_far~t {c |}{res}  -0.1272   0.1697  -0.0658   0.1561  -0.1923  -0.2151  -0.1923   1.0000
    {txt}year2002 {c |}{res}  -0.0000   0.0000   0.0000   0.0000   0.0000  -0.0000   0.0000   0.0000   1.0000

{txt}
{com}.  
.  //descriptive statistics
.  sum total_court_cases L.total_court_cases total_civil_cases lag_civil_cases  total_criminal_cases lag_criminal_cases ln_cum_state_victims  ln_cum_maoist_victims peoples_govt_active   /*
>  */ln_newNGOs ln_pop percent_votes1991_1999_GAP litrate_1991_2001_GAP road_density_GAP  /*
>  */ln_abs_total2001 hilli_region mountain_region region_east region_mid region_west region_farwest year2002 if year>1995 & year<2007

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
total_cour~s {c |}
{space 9}--. {c |}{res}        825    1034.279    1513.531          0      11174
{txt}{space 9}L1. {c |}{res}        825    1075.994    1516.951          0      10900
{txt}{space 12} {c |}
total_civi~s {c |}{res}        825    665.5164    1017.058          0       6779
{txt}lag_civil_~s {c |}{res}        825    689.4448     1026.64          0       6779
{txt}total_crim~s {c |}{res}        825    368.7624    532.1879          0       5009
{txt}{hline 13}{c +}{hline 57}
lag_crimin~s {c |}{res}        825    386.5491    524.0945          0       4699
{txt}ln_cum_sta~s {c |}{res}        825    2.400533    1.985718          0   6.322565
{txt}ln_cum_mao~s {c |}{res}        825    2.066075    1.759951          0   5.463832
{txt}peoples_go~e {c |}{res}        825    .3939394    .4889181          0          1
{txt}{space 2}ln_newNGOs {c |}{res}        825    2.394338    1.043071          0   6.481577
{txt}{hline 13}{c +}{hline 57}
{space 6}ln_pop {c |}{res}        825    12.38775    .8771693   8.611958   14.05558
{txt}percent_vo~P {c |}{res}        825   -.3576044    10.24488  -64.42893   22.49114
{txt}litrate_19~P {c |}{res}        825    1.48e-06    11.62444  -25.01067   31.98667
{txt}road_densi~P {c |}{res}        825    3.23e-08    .3077312  -.1899205    1.86788
{txt}ln_abs_~2001 {c |}{res}        825    8.615526     1.35401   4.912655   10.71103
{txt}{hline 13}{c +}{hline 57}
hilli_region {c |}{res}        825    .5333333    .4991903          0          1
{txt}mountain_r~n {c |}{res}        825    .1733333    .3787648          0          1
{txt}{space 1}region_east {c |}{res}        825    .2133333    .4099096          0          1
{txt}{space 2}region_mid {c |}{res}        825    .2533333     .435184          0          1
{txt}{space 1}region_west {c |}{res}        825    .2133333    .4099096          0          1
{txt}{hline 13}{c +}{hline 57}
region_far~t {c |}{res}        825         .12    .3251587          0          1
{txt}{space 4}year2002 {c |}{res}        825    .4545455    .4982316          0          1
{txt}
{com}.  
. 
. 
. //Preliminary Working Models
. //exclude ln_abs_total2001
. //Civil cases
. xtnbreg total_civil_cases lag_civil_cases  ln_cum_state_victims peoples_govt_active ln_pop percent_votes1991_1999_GAP   ///
> litrate_1991_2001_GAP road_density_GAP year2002  hilli_region mountain_region region_east region_mid region_west region_farwest i.sno if year>1995 & year<2007 
{txt}note: 35.sno omitted because of collinearity
note: 64.sno omitted because of collinearity
note: 70.sno omitted because of collinearity
note: 71.sno omitted because of collinearity
note: 72.sno omitted because of collinearity
note: 73.sno omitted because of collinearity
note: 75.sno omitted because of collinearity

Fitting negative binomial (constant dispersion) model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1204411.1}  
Iteration 1:{space 3}log likelihood = {res:-433092.39}  
Iteration 2:{space 3}log likelihood = {res: -224071.4}  
Iteration 3:{space 3}log likelihood = {res:-18839.505}  
Iteration 4:{space 3}log likelihood = {res:-14680.163}  
Iteration 5:{space 3}log likelihood = {res:-14670.776}  
Iteration 6:{space 3}log likelihood = {res:-14670.776}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-220243.62}  
Iteration 1:{space 3}log likelihood = {res:-18470.292}  
Iteration 2:{space 3}log likelihood = {res:-7456.0091}  (backed up)
Iteration 3:{space 3}log likelihood = {res:-6120.0465}  
Iteration 4:{space 3}log likelihood = {res:-6050.9396}  
Iteration 5:{space 3}log likelihood = {res:-6046.5021}  
Iteration 6:{space 3}log likelihood = {res:-6046.4926}  
Iteration 7:{space 3}log likelihood = {res:-6046.4926}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-6046.4926}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-5875.6212}  (not concave)
Iteration 2:{space 3}log likelihood = {res: -5681.252}  (not concave)
Iteration 3:{space 3}log likelihood = {res:-5288.2436}  (not concave)
Iteration 4:{space 3}log likelihood = {res:-5098.3243}  
Iteration 5:{space 3}log likelihood = {res:-4966.3233}  
Iteration 6:{space 3}log likelihood = {res:-4777.1336}  
Iteration 7:{space 3}log likelihood = {res:-4725.7254}  
Iteration 8:{space 3}log likelihood = {res:-4724.9489}  
Iteration 9:{space 3}log likelihood = {res: -4724.948}  
Iteration 10:{space 2}log likelihood = {res: -4724.948}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-9391.8282}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-9323.1706}  (not concave)
Iteration 2:{space 3}log likelihood = {res:-8444.5378}  (not concave)
Iteration 3:{space 3}log likelihood = {res:-5816.1729}  (not concave)
Iteration 4:{space 3}log likelihood = {res:-5262.0037}  (not concave)
Iteration 5:{space 3}log likelihood = {res:-4928.8023}  (not concave)
Iteration 6:{space 3}log likelihood = {res:-4834.3813}  (not concave)
Iteration 7:{space 3}log likelihood = {res:-4812.4683}  
Iteration 8:{space 3}log likelihood = {res:-4788.4086}  (backed up)
Iteration 9:{space 3}log likelihood = {res:-4781.9716}  (not concave)
Iteration 10:{space 2}log likelihood = {res:-4762.9186}  (not concave)
Iteration 11:{space 2}log likelihood = {res:-4758.1642}  (not concave)
Iteration 12:{space 2}log likelihood = {res:  -4755.73}  
Iteration 13:{space 2}log likelihood = {res: -4752.078}  
Iteration 14:{space 2}log likelihood = {res:-4743.8785}  
Iteration 15:{space 2}log likelihood = {res:-4743.6526}  
Iteration 16:{space 2}log likelihood = {res:-4743.6518}  
Iteration 17:{space 2}log likelihood = {res:-4743.6518}  
{res}
{txt}Random-effects negative binomial regression{col 49}Number of obs{col 67}={col 69}{res}       825
{txt}Group variable: {res}sno{col 49}{txt}Number of groups{col 67}={col 69}{res}        75

{txt}Random effects u_i ~ {res}Beta{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        11
{txt}{col 63}avg{col 67}={col 69}{res}      11.0
{txt}{col 63}max{col 67}={col 69}{res}        11

{txt}{col 49}Wald chi2({res}81{txt}){col 67}={col 70}{res}  2012.80
{txt}Log likelihood  = {res}-4743.6518{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         total_civil_cases{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}lag_civil_cases {c |}{col 28}{res}{space 2} .0001051{col 40}{space 2} .0000294{col 51}{space 1}    3.57{col 60}{space 3}0.000{col 68}{space 4} .0000475{col 81}{space 3} .0001628
{txt}{space 6}ln_cum_state_victims {c |}{col 28}{res}{space 2}-.0987939{col 40}{space 2}  .012284{col 51}{space 1}   -8.04{col 60}{space 3}0.000{col 68}{space 4}-.1228701{col 81}{space 3}-.0747177
{txt}{space 7}peoples_govt_active {c |}{col 28}{res}{space 2}-.2721115{col 40}{space 2} .0315691{col 51}{space 1}   -8.62{col 60}{space 3}0.000{col 68}{space 4}-.3339858{col 81}{space 3}-.2102371
{txt}{space 20}ln_pop {c |}{col 28}{res}{space 2} .6129042{col 40}{space 2} .1607476{col 51}{space 1}    3.81{col 60}{space 3}0.000{col 68}{space 4} .2978448{col 81}{space 3} .9279636
{txt}percent_votes1991_1999_GAP {c |}{col 28}{res}{space 2} .0069685{col 40}{space 2} .0048345{col 51}{space 1}    1.44{col 60}{space 3}0.149{col 68}{space 4} -.002507{col 81}{space 3} .0164439
{txt}{space 5}litrate_1991_2001_GAP {c |}{col 28}{res}{space 2} .0007475{col 40}{space 2} .0035525{col 51}{space 1}    0.21{col 60}{space 3}0.833{col 68}{space 4}-.0062152{col 81}{space 3} .0077102
{txt}{space 10}road_density_GAP {c |}{col 28}{res}{space 2}-19.36919{col 40}{space 2} 13.04016{col 51}{space 1}   -1.49{col 60}{space 3}0.137{col 68}{space 4}-44.92744{col 81}{space 3} 6.189061
{txt}{space 18}year2002 {c |}{col 28}{res}{space 2} .1461328{col 40}{space 2} .0361784{col 51}{space 1}    4.04{col 60}{space 3}0.000{col 68}{space 4} .0752244{col 81}{space 3} .2170412
{txt}{space 14}hilli_region {c |}{col 28}{res}{space 2} -2.38935{col 40}{space 2} .5409039{col 51}{space 1}   -4.42{col 60}{space 3}0.000{col 68}{space 4}-3.449502{col 81}{space 3}-1.329198
{txt}{space 11}mountain_region {c |}{col 28}{res}{space 2}-3.830389{col 40}{space 2} 1.686414{col 51}{space 1}   -2.27{col 60}{space 3}0.023{col 68}{space 4}-7.135699{col 81}{space 3}-.5250785
{txt}{space 15}region_east {c |}{col 28}{res}{space 2} 5.310117{col 40}{space 2} 3.299962{col 51}{space 1}    1.61{col 60}{space 3}0.108{col 68}{space 4} -1.15769{col 81}{space 3} 11.77792
{txt}{space 16}region_mid {c |}{col 28}{res}{space 2} -1.88408{col 40}{space 2} 1.087625{col 51}{space 1}   -1.73{col 60}{space 3}0.083{col 68}{space 4}-4.015785{col 81}{space 3} .2476246
{txt}{space 15}region_west {c |}{col 28}{res}{space 2}-.0501216{col 40}{space 2} .6096119{col 51}{space 1}   -0.08{col 60}{space 3}0.934{col 68}{space 4}-1.244939{col 81}{space 3} 1.144696
{txt}{space 12}region_farwest {c |}{col 28}{res}{space 2} 1.717095{col 40}{space 2} .6999852{col 51}{space 1}    2.45{col 60}{space 3}0.014{col 68}{space 4} .3451491{col 81}{space 3} 3.089041
{txt}{space 26} {c |}
{space 23}sno {c |}
{space 24}2  {c |}{col 28}{res}{space 2}-1.074743{col 40}{space 2} 1.986253{col 51}{space 1}   -0.54{col 60}{space 3}0.588{col 68}{space 4}-4.967728{col 81}{space 3} 2.818241
{txt}{space 24}3  {c |}{col 28}{res}{space 2}-2.218769{col 40}{space 2} 2.948542{col 51}{space 1}   -0.75{col 60}{space 3}0.452{col 68}{space 4}-7.997806{col 81}{space 3} 3.560268
{txt}{space 24}4  {c |}{col 28}{res}{space 2}-3.162714{col 40}{space 2} 3.179808{col 51}{space 1}   -0.99{col 60}{space 3}0.320{col 68}{space 4}-9.395024{col 81}{space 3} 3.069597
{txt}{space 24}5  {c |}{col 28}{res}{space 2}-.3566112{col 40}{space 2} .5759363{col 51}{space 1}   -0.62{col 60}{space 3}0.536{col 68}{space 4}-1.485426{col 81}{space 3} .7722033
{txt}{space 24}6  {c |}{col 28}{res}{space 2}-.1082087{col 40}{space 2} .5723527{col 51}{space 1}   -0.19{col 60}{space 3}0.850{col 68}{space 4}-1.229999{col 81}{space 3} 1.013582
{txt}{space 24}7  {c |}{col 28}{res}{space 2}-.9466626{col 40}{space 2} 1.983117{col 51}{space 1}   -0.48{col 60}{space 3}0.633{col 68}{space 4}-4.833501{col 81}{space 3} 2.940176
{txt}{space 24}8  {c |}{col 28}{res}{space 2} -3.88731{col 40}{space 2} 3.852086{col 51}{space 1}   -1.01{col 60}{space 3}0.313{col 68}{space 4}-11.43726{col 81}{space 3} 3.662641
{txt}{space 24}9  {c |}{col 28}{res}{space 2}-5.690401{col 40}{space 2} 4.728425{col 51}{space 1}   -1.20{col 60}{space 3}0.229{col 68}{space 4}-14.95794{col 81}{space 3} 3.577142
{txt}{space 23}10  {c |}{col 28}{res}{space 2}-4.835346{col 40}{space 2} 3.188843{col 51}{space 1}   -1.52{col 60}{space 3}0.129{col 68}{space 4}-11.08536{col 81}{space 3} 1.414671
{txt}{space 23}11  {c |}{col 28}{res}{space 2}-3.240105{col 40}{space 2}  1.95847{col 51}{space 1}   -1.65{col 60}{space 3}0.098{col 68}{space 4}-7.078636{col 81}{space 3}  .598426
{txt}{space 23}12  {c |}{col 28}{res}{space 2}-2.107366{col 40}{space 2} 1.656139{col 51}{space 1}   -1.27{col 60}{space 3}0.203{col 68}{space 4}-5.353338{col 81}{space 3} 1.138607
{txt}{space 23}13  {c |}{col 28}{res}{space 2}-2.081703{col 40}{space 2} 3.485697{col 51}{space 1}   -0.60{col 60}{space 3}0.550{col 68}{space 4}-8.913543{col 81}{space 3} 4.750138
{txt}{space 23}14  {c |}{col 28}{res}{space 2}-6.325631{col 40}{space 2} 4.765713{col 51}{space 1}   -1.33{col 60}{space 3}0.184{col 68}{space 4}-15.66626{col 81}{space 3} 3.014995
{txt}{space 23}15  {c |}{col 28}{res}{space 2}-4.013036{col 40}{space 2} 4.253657{col 51}{space 1}   -0.94{col 60}{space 3}0.345{col 68}{space 4}-12.35005{col 81}{space 3}  4.32398
{txt}{space 23}16  {c |}{col 28}{res}{space 2}-5.190761{col 40}{space 2} 3.314428{col 51}{space 1}   -1.57{col 60}{space 3}0.117{col 68}{space 4}-11.68692{col 81}{space 3} 1.305398
{txt}{space 23}17  {c |}{col 28}{res}{space 2} 11.22919{col 40}{space 2} 6.618398{col 51}{space 1}    1.70{col 60}{space 3}0.090{col 68}{space 4}-1.742629{col 81}{space 3} 24.20101
{txt}{space 23}18  {c |}{col 28}{res}{space 2} 8.743612{col 40}{space 2} 5.166445{col 51}{space 1}    1.69{col 60}{space 3}0.091{col 68}{space 4}-1.382435{col 81}{space 3} 18.86966
{txt}{space 23}19  {c |}{col 28}{res}{space 2}  8.33602{col 40}{space 2} 4.378206{col 51}{space 1}    1.90{col 60}{space 3}0.057{col 68}{space 4}-.2451067{col 81}{space 3} 16.91715
{txt}{space 23}20  {c |}{col 28}{res}{space 2} 3.212323{col 40}{space 2} .9213644{col 51}{space 1}    3.49{col 60}{space 3}0.000{col 68}{space 4} 1.406482{col 81}{space 3} 5.018164
{txt}{space 23}21  {c |}{col 28}{res}{space 2} 2.808002{col 40}{space 2} .8663925{col 51}{space 1}    3.24{col 60}{space 3}0.001{col 68}{space 4} 1.109904{col 81}{space 3}   4.5061
{txt}{space 23}22  {c |}{col 28}{res}{space 2}  4.07896{col 40}{space 2} 2.254132{col 51}{space 1}    1.81{col 60}{space 3}0.070{col 68}{space 4}-.3390574{col 81}{space 3} 8.496977
{txt}{space 23}23  {c |}{col 28}{res}{space 2} 4.200851{col 40}{space 2}  1.80325{col 51}{space 1}    2.33{col 60}{space 3}0.020{col 68}{space 4} .6665456{col 81}{space 3} 7.735157
{txt}{space 23}24  {c |}{col 28}{res}{space 2} 5.188656{col 40}{space 2} 2.638969{col 51}{space 1}    1.97{col 60}{space 3}0.049{col 68}{space 4} .0163717{col 81}{space 3} 10.36094
{txt}{space 23}25  {c |}{col 28}{res}{space 2} 4.930714{col 40}{space 2} 2.382624{col 51}{space 1}    2.07{col 60}{space 3}0.039{col 68}{space 4} .2608559{col 81}{space 3} 9.600571
{txt}{space 23}26  {c |}{col 28}{res}{space 2} 6.669845{col 40}{space 2} 3.780612{col 51}{space 1}    1.76{col 60}{space 3}0.078{col 68}{space 4}-.7400178{col 81}{space 3} 14.07971
{txt}{space 23}27  {c |}{col 28}{res}{space 2} 5.154514{col 40}{space 2}  1.29469{col 51}{space 1}    3.98{col 60}{space 3}0.000{col 68}{space 4} 2.616969{col 81}{space 3} 7.692059
{txt}{space 23}28  {c |}{col 28}{res}{space 2} 20.54341{col 40}{space 2} 10.60178{col 51}{space 1}    1.94{col 60}{space 3}0.053{col 68}{space 4}-.2357006{col 81}{space 3} 41.32252
{txt}{space 23}29  {c |}{col 28}{res}{space 2} 31.85646{col 40}{space 2}  19.0099{col 51}{space 1}    1.68{col 60}{space 3}0.094{col 68}{space 4}-5.402257{col 81}{space 3} 69.11519
{txt}{space 23}30  {c |}{col 28}{res}{space 2} 43.77287{col 40}{space 2} 25.98064{col 51}{space 1}    1.68{col 60}{space 3}0.092{col 68}{space 4}-7.148259{col 81}{space 3} 94.69399
{txt}{space 23}31  {c |}{col 28}{res}{space 2} 8.991907{col 40}{space 2} 3.131383{col 51}{space 1}    2.87{col 60}{space 3}0.004{col 68}{space 4} 2.854508{col 81}{space 3} 15.12931
{txt}{space 23}32  {c |}{col 28}{res}{space 2}   4.6388{col 40}{space 2} 1.236826{col 51}{space 1}    3.75{col 60}{space 3}0.000{col 68}{space 4} 2.214666{col 81}{space 3} 7.062934
{txt}{space 23}33  {c |}{col 28}{res}{space 2} 1.360422{col 40}{space 2} .6693187{col 51}{space 1}    2.03{col 60}{space 3}0.042{col 68}{space 4} .0485816{col 81}{space 3} 2.672263
{txt}{space 23}34  {c |}{col 28}{res}{space 2} 6.927456{col 40}{space 2} 2.510674{col 51}{space 1}    2.76{col 60}{space 3}0.006{col 68}{space 4} 2.006625{col 81}{space 3} 11.84829
{txt}{space 23}35  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}36  {c |}{col 28}{res}{space 2} 6.492553{col 40}{space 2}  2.03084{col 51}{space 1}    3.20{col 60}{space 3}0.001{col 68}{space 4}  2.51218{col 81}{space 3} 10.47293
{txt}{space 23}37  {c |}{col 28}{res}{space 2} .3099981{col 40}{space 2} 1.395951{col 51}{space 1}    0.22{col 60}{space 3}0.824{col 68}{space 4}-2.426015{col 81}{space 3} 3.046011
{txt}{space 23}38  {c |}{col 28}{res}{space 2} 2.072717{col 40}{space 2} 1.096426{col 51}{space 1}    1.89{col 60}{space 3}0.059{col 68}{space 4}-.0762397{col 81}{space 3} 4.221673
{txt}{space 23}39  {c |}{col 28}{res}{space 2} 2.348678{col 40}{space 2} .9965296{col 51}{space 1}    2.36{col 60}{space 3}0.018{col 68}{space 4} .3955161{col 81}{space 3}  4.30184
{txt}{space 23}40  {c |}{col 28}{res}{space 2} 5.350457{col 40}{space 2} 1.410055{col 51}{space 1}    3.79{col 60}{space 3}0.000{col 68}{space 4} 2.586799{col 81}{space 3} 8.114114
{txt}{space 23}41  {c |}{col 28}{res}{space 2} .7991135{col 40}{space 2} .9463291{col 51}{space 1}    0.84{col 60}{space 3}0.398{col 68}{space 4}-1.055657{col 81}{space 3} 2.653884
{txt}{space 23}42  {c |}{col 28}{res}{space 2}  1.91983{col 40}{space 2} 1.516351{col 51}{space 1}    1.27{col 60}{space 3}0.205{col 68}{space 4}-1.052163{col 81}{space 3} 4.891822
{txt}{space 23}43  {c |}{col 28}{res}{space 2} 4.958998{col 40}{space 2} 1.538101{col 51}{space 1}    3.22{col 60}{space 3}0.001{col 68}{space 4} 1.944375{col 81}{space 3} 7.973622
{txt}{space 23}44  {c |}{col 28}{res}{space 2} 1.458873{col 40}{space 2} 1.225789{col 51}{space 1}    1.19{col 60}{space 3}0.234{col 68}{space 4}-.9436296{col 81}{space 3} 3.861375
{txt}{space 23}45  {c |}{col 28}{res}{space 2} 4.477733{col 40}{space 2} 1.138364{col 51}{space 1}    3.93{col 60}{space 3}0.000{col 68}{space 4} 2.246581{col 81}{space 3} 6.708884
{txt}{space 23}46  {c |}{col 28}{res}{space 2} 3.152123{col 40}{space 2} .9854364{col 51}{space 1}    3.20{col 60}{space 3}0.001{col 68}{space 4} 1.220703{col 81}{space 3} 5.083543
{txt}{space 23}47  {c |}{col 28}{res}{space 2} .8558385{col 40}{space 2} 1.646653{col 51}{space 1}    0.52{col 60}{space 3}0.603{col 68}{space 4}-2.371542{col 81}{space 3} 4.083219
{txt}{space 23}48  {c |}{col 28}{res}{space 2} 2.909498{col 40}{space 2} .8531211{col 51}{space 1}    3.41{col 60}{space 3}0.001{col 68}{space 4} 1.237411{col 81}{space 3} 4.581585
{txt}{space 23}49  {c |}{col 28}{res}{space 2} .4540019{col 40}{space 2} 1.660664{col 51}{space 1}    0.27{col 60}{space 3}0.785{col 68}{space 4}-2.800839{col 81}{space 3} 3.708843
{txt}{space 23}50  {c |}{col 28}{res}{space 2} 1.239347{col 40}{space 2} 1.100042{col 51}{space 1}    1.13{col 60}{space 3}0.260{col 68}{space 4}-.9166952{col 81}{space 3}  3.39539
{txt}{space 23}51  {c |}{col 28}{res}{space 2} 2.969922{col 40}{space 2} .8570042{col 51}{space 1}    3.47{col 60}{space 3}0.001{col 68}{space 4} 1.290225{col 81}{space 3} 4.649619
{txt}{space 23}52  {c |}{col 28}{res}{space 2}-.4653938{col 40}{space 2} 1.387096{col 51}{space 1}   -0.34{col 60}{space 3}0.737{col 68}{space 4}-3.184051{col 81}{space 3} 2.253264
{txt}{space 23}53  {c |}{col 28}{res}{space 2} 2.371989{col 40}{space 2} .8386686{col 51}{space 1}    2.83{col 60}{space 3}0.005{col 68}{space 4} .7282288{col 81}{space 3} 4.015749
{txt}{space 23}54  {c |}{col 28}{res}{space 2}-.8516064{col 40}{space 2}   1.5408{col 51}{space 1}   -0.55{col 60}{space 3}0.580{col 68}{space 4} -3.87152{col 81}{space 3} 2.168307
{txt}{space 23}55  {c |}{col 28}{res}{space 2} 1.231263{col 40}{space 2}  .959333{col 51}{space 1}    1.28{col 60}{space 3}0.199{col 68}{space 4}-.6489948{col 81}{space 3} 3.111521
{txt}{space 23}56  {c |}{col 28}{res}{space 2} .4569554{col 40}{space 2}  .891165{col 51}{space 1}    0.51{col 60}{space 3}0.608{col 68}{space 4}-1.289696{col 81}{space 3} 2.203607
{txt}{space 23}57  {c |}{col 28}{res}{space 2} 3.324222{col 40}{space 2} .8507665{col 51}{space 1}    3.91{col 60}{space 3}0.000{col 68}{space 4}  1.65675{col 81}{space 3} 4.991694
{txt}{space 23}58  {c |}{col 28}{res}{space 2}-1.594442{col 40}{space 2} 1.563363{col 51}{space 1}   -1.02{col 60}{space 3}0.308{col 68}{space 4}-4.658577{col 81}{space 3} 1.469693
{txt}{space 23}59  {c |}{col 28}{res}{space 2} .9589864{col 40}{space 2}  .773093{col 51}{space 1}    1.24{col 60}{space 3}0.215{col 68}{space 4} -.556248{col 81}{space 3} 2.474221
{txt}{space 23}60  {c |}{col 28}{res}{space 2} .6094693{col 40}{space 2} .5469961{col 51}{space 1}    1.11{col 60}{space 3}0.265{col 68}{space 4}-.4626233{col 81}{space 3} 1.681562
{txt}{space 23}61  {c |}{col 28}{res}{space 2} .1195833{col 40}{space 2} .5283908{col 51}{space 1}    0.23{col 60}{space 3}0.821{col 68}{space 4}-.9160436{col 81}{space 3}  1.15521
{txt}{space 23}62  {c |}{col 28}{res}{space 2}-1.530069{col 40}{space 2} 1.675224{col 51}{space 1}   -0.91{col 60}{space 3}0.361{col 68}{space 4}-4.813447{col 81}{space 3} 1.753309
{txt}{space 23}63  {c |}{col 28}{res}{space 2} 1.123573{col 40}{space 2} .5408292{col 51}{space 1}    2.08{col 60}{space 3}0.038{col 68}{space 4} .0635673{col 81}{space 3} 2.183579
{txt}{space 23}64  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}65  {c |}{col 28}{res}{space 2}-1.632736{col 40}{space 2} .6355501{col 51}{space 1}   -2.57{col 60}{space 3}0.010{col 68}{space 4}-2.878391{col 81}{space 3}-.3870808
{txt}{space 23}66  {c |}{col 28}{res}{space 2}-3.002549{col 40}{space 2} 1.206274{col 51}{space 1}   -2.49{col 60}{space 3}0.013{col 68}{space 4}-5.366802{col 81}{space 3}-.6382952
{txt}{space 23}67  {c |}{col 28}{res}{space 2}-.9798013{col 40}{space 2} .8035584{col 51}{space 1}   -1.22{col 60}{space 3}0.223{col 68}{space 4}-2.554747{col 81}{space 3} .5951442
{txt}{space 23}68  {c |}{col 28}{res}{space 2}-2.128315{col 40}{space 2}  .655976{col 51}{space 1}   -3.24{col 60}{space 3}0.001{col 68}{space 4}-3.414005{col 81}{space 3}-.8426261
{txt}{space 23}69  {c |}{col 28}{res}{space 2}-.5088023{col 40}{space 2} .6274143{col 51}{space 1}   -0.81{col 60}{space 3}0.417{col 68}{space 4}-1.738512{col 81}{space 3} .7209072
{txt}{space 23}70  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}71  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}72  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}73  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}74  {c |}{col 28}{res}{space 2}-.3715737{col 40}{space 2} .7295443{col 51}{space 1}   -0.51{col 60}{space 3}0.611{col 68}{space 4}-1.801454{col 81}{space 3} 1.058307
{txt}{space 23}75  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2}-6.149186{col 40}{space 2} 2.333973{col 51}{space 1}   -2.63{col 60}{space 3}0.008{col 68}{space 4}-10.72369{col 81}{space 3}-1.574683
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 21}/ln_r {c |}{col 28}{res}{space 2} .6024933{col 40}{space 2} .2370733{col 68}{space 4} .1378382{col 81}{space 3} 1.067148
{txt}{space 21}/ln_s {c |}{col 28}{res}{space 2} 3.287995{col 40}{space 2} .3206241{col 68}{space 4} 2.659583{col 81}{space 3} 3.916407
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                         r {c |}{col 28}{res}{space 2} 1.826667{col 40}{space 2}  .433054{col 68}{space 4}  1.14779{col 81}{space 3} 2.907078
{txt}                         s {c |}{col 28}{res}{space 2}  26.7891{col 40}{space 2} 8.589232{col 68}{space 4} 14.29033{col 81}{space 3} 50.21967
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{txt}LR test vs. pooled: {help j_chibar##|_new:chibar2(01) = }{res}0.00{col 56}{txt}Prob >= chibar2 = {res}1.000
{txt}
{com}. 
. collin total_civil_cases lag_civil_cases  ln_cum_state_victims peoples_govt_active ln_pop percent_votes1991_1999_GAP    ///
> litrate_1991_2001_GAP road_density_GAP year2002  hilli_region mountain_region region_east region_mid region_west region_farwest sno if year>1995 & year<2007 
{txt}(obs=825)

  Collinearity Diagnostics

                        SQRT                   R-
  Variable      VIF     VIF    Tolerance    Squared
----------------------------------------------------
{res}total_civil_cases     26.92    5.19    0.0372      0.9628
lag_civil_cases     26.91    5.19    0.0372      0.9628
ln_cum_state_victims      4.03    2.01    0.2481      0.7519
peoples_govt_active      2.75    1.66    0.3641      0.6359
    ln_pop      6.18    2.49    0.1619      0.8381
percent_votes1991_1999_GAP      1.35    1.16    0.7396      0.2604
litrate_1991_2001_GAP      2.75    1.66    0.3631      0.6369
road_density_GAP      4.17    2.04    0.2397      0.7603
  year2002      3.73    1.93    0.2678      0.7322
hilli_region      2.68    1.64    0.3734      0.6266
mountain_region      3.17    1.78    0.3157      0.6843
region_east     21.97    4.69    0.0455      0.9545
region_mid     10.20    3.19    0.0980      0.9020
region_west      3.79    1.95    0.2636      0.7364
region_farwest      2.94    1.71    0.3400      0.6600
       sno     25.38    5.04    0.0394      0.9606
{txt}----------------------------------------------------
  Mean VIF{res}      9.31

{txt}                           Cond
        Eigenval          Index
---------------------------------
{res}    1     6.7008          1.0000
    2     2.6859          1.5795
    3     1.5218          2.0984
    4     1.2627          2.3037
    5     1.1142          2.4523
    6     0.9472          2.6598
    7     0.7344          3.0206
    8     0.6596          3.1874
    9     0.6002          3.3413
    10     0.2936          4.7772
    11     0.1641          6.3908
    12     0.1423          6.8621
    13     0.0794          9.1852
    14     0.0715          9.6797
    15     0.0134         22.3811
    16     0.0088         27.5728
    17     0.0003        147.1145
{txt}---------------------------------
 Condition Number{res}       147.1145 
{txt} Eigenvalues & Cond Index computed from scaled raw sscp (w/ intercept)
 Det(correlation matrix){res}    0.0000
{txt}
{com}. 
. test

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[total_civil_cases]lag_civil_cases = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} [total_civil_cases]ln_cum_state_victims = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} [total_civil_cases]peoples_govt_active = 0{p_end}
{p 0 7}{space 1}{text:( 4)}{space 1} [total_civil_cases]ln_pop = 0{p_end}
{p 0 7}{space 1}{text:( 5)}{space 1} [total_civil_cases]percent_votes1991_1999_GAP = 0{p_end}
{p 0 7}{space 1}{text:( 6)}{space 1} [total_civil_cases]litrate_1991_2001_GAP = 0{p_end}
{p 0 7}{space 1}{text:( 7)}{space 1} [total_civil_cases]road_density_GAP = 0{p_end}
{p 0 7}{space 1}{text:( 8)}{space 1} [total_civil_cases]year2002 = 0{p_end}
{p 0 7}{space 1}{text:( 9)}{space 1} [total_civil_cases]hilli_region = 0{p_end}
{p 0 7}{space 1}{text:(10)}{space 1} [total_civil_cases]mountain_region = 0{p_end}
{p 0 7}{space 1}{text:(11)}{space 1} [total_civil_cases]region_east = 0{p_end}
{p 0 7}{space 1}{text:(12)}{space 1} [total_civil_cases]region_mid = 0{p_end}
{p 0 7}{space 1}{text:(13)}{space 1} [total_civil_cases]region_west = 0{p_end}
{p 0 7}{space 1}{text:(14)}{space 1} [total_civil_cases]region_farwest = 0{p_end}
{p 0 7}{space 1}{text:(15)}{space 1} [total_civil_cases]1b.sno = 0{p_end}
{p 0 7}{space 1}{text:(16)}{space 1} [total_civil_cases]2.sno = 0{p_end}
{p 0 7}{space 1}{text:(17)}{space 1} [total_civil_cases]3.sno = 0{p_end}
{p 0 7}{space 1}{text:(18)}{space 1} [total_civil_cases]4.sno = 0{p_end}
{p 0 7}{space 1}{text:(19)}{space 1} [total_civil_cases]5.sno = 0{p_end}
{p 0 7}{space 1}{text:(20)}{space 1} [total_civil_cases]6.sno = 0{p_end}
{p 0 7}{space 1}{text:(21)}{space 1} [total_civil_cases]7.sno = 0{p_end}
{p 0 7}{space 1}{text:(22)}{space 1} [total_civil_cases]8.sno = 0{p_end}
{p 0 7}{space 1}{text:(23)}{space 1} [total_civil_cases]9.sno = 0{p_end}
{p 0 7}{space 1}{text:(24)}{space 1} [total_civil_cases]10.sno = 0{p_end}
{p 0 7}{space 1}{text:(25)}{space 1} [total_civil_cases]11.sno = 0{p_end}
{p 0 7}{space 1}{text:(26)}{space 1} [total_civil_cases]12.sno = 0{p_end}
{p 0 7}{space 1}{text:(27)}{space 1} [total_civil_cases]13.sno = 0{p_end}
{p 0 7}{space 1}{text:(28)}{space 1} [total_civil_cases]14.sno = 0{p_end}
{p 0 7}{space 1}{text:(29)}{space 1} [total_civil_cases]15.sno = 0{p_end}
{p 0 7}{space 1}{text:(30)}{space 1} [total_civil_cases]16.sno = 0{p_end}
{p 0 7}{space 1}{text:(31)}{space 1} [total_civil_cases]17.sno = 0{p_end}
{p 0 7}{space 1}{text:(32)}{space 1} [total_civil_cases]18.sno = 0{p_end}
{p 0 7}{space 1}{text:(33)}{space 1} [total_civil_cases]19.sno = 0{p_end}
{p 0 7}{space 1}{text:(34)}{space 1} [total_civil_cases]20.sno = 0{p_end}
{p 0 7}{space 1}{text:(35)}{space 1} [total_civil_cases]21.sno = 0{p_end}
{p 0 7}{space 1}{text:(36)}{space 1} [total_civil_cases]22.sno = 0{p_end}
{p 0 7}{space 1}{text:(37)}{space 1} [total_civil_cases]23.sno = 0{p_end}
{p 0 7}{space 1}{text:(38)}{space 1} [total_civil_cases]24.sno = 0{p_end}
{p 0 7}{space 1}{text:(39)}{space 1} [total_civil_cases]25.sno = 0{p_end}
{p 0 7}{space 1}{text:(40)}{space 1} [total_civil_cases]26.sno = 0{p_end}
{p 0 7}{space 1}{text:(41)}{space 1} [total_civil_cases]27.sno = 0{p_end}
{p 0 7}{space 1}{text:(42)}{space 1} [total_civil_cases]28.sno = 0{p_end}
{p 0 7}{space 1}{text:(43)}{space 1} [total_civil_cases]29.sno = 0{p_end}
{p 0 7}{space 1}{text:(44)}{space 1} [total_civil_cases]30.sno = 0{p_end}
{p 0 7}{space 1}{text:(45)}{space 1} [total_civil_cases]31.sno = 0{p_end}
{p 0 7}{space 1}{text:(46)}{space 1} [total_civil_cases]32.sno = 0{p_end}
{p 0 7}{space 1}{text:(47)}{space 1} [total_civil_cases]33.sno = 0{p_end}
{p 0 7}{space 1}{text:(48)}{space 1} [total_civil_cases]34.sno = 0{p_end}
{p 0 7}{space 1}{text:(49)}{space 1} [total_civil_cases]35o.sno = 0{p_end}
{p 0 7}{space 1}{text:(50)}{space 1} [total_civil_cases]36.sno = 0{p_end}
{p 0 7}{space 1}{text:(51)}{space 1} [total_civil_cases]37.sno = 0{p_end}
{p 0 7}{space 1}{text:(52)}{space 1} [total_civil_cases]38.sno = 0{p_end}
{p 0 7}{space 1}{text:(53)}{space 1} [total_civil_cases]39.sno = 0{p_end}
{p 0 7}{space 1}{text:(54)}{space 1} [total_civil_cases]40.sno = 0{p_end}
{p 0 7}{space 1}{text:(55)}{space 1} [total_civil_cases]41.sno = 0{p_end}
{p 0 7}{space 1}{text:(56)}{space 1} [total_civil_cases]42.sno = 0{p_end}
{p 0 7}{space 1}{text:(57)}{space 1} [total_civil_cases]43.sno = 0{p_end}
{p 0 7}{space 1}{text:(58)}{space 1} [total_civil_cases]44.sno = 0{p_end}
{p 0 7}{space 1}{text:(59)}{space 1} [total_civil_cases]45.sno = 0{p_end}
{p 0 7}{space 1}{text:(60)}{space 1} [total_civil_cases]46.sno = 0{p_end}
{p 0 7}{space 1}{text:(61)}{space 1} [total_civil_cases]47.sno = 0{p_end}
{p 0 7}{space 1}{text:(62)}{space 1} [total_civil_cases]48.sno = 0{p_end}
{p 0 7}{space 1}{text:(63)}{space 1} [total_civil_cases]49.sno = 0{p_end}
{p 0 7}{space 1}{text:(64)}{space 1} [total_civil_cases]50.sno = 0{p_end}
{p 0 7}{space 1}{text:(65)}{space 1} [total_civil_cases]51.sno = 0{p_end}
{p 0 7}{space 1}{text:(66)}{space 1} [total_civil_cases]52.sno = 0{p_end}
{p 0 7}{space 1}{text:(67)}{space 1} [total_civil_cases]53.sno = 0{p_end}
{p 0 7}{space 1}{text:(68)}{space 1} [total_civil_cases]54.sno = 0{p_end}
{p 0 7}{space 1}{text:(69)}{space 1} [total_civil_cases]55.sno = 0{p_end}
{p 0 7}{space 1}{text:(70)}{space 1} [total_civil_cases]56.sno = 0{p_end}
{p 0 7}{space 1}{text:(71)}{space 1} [total_civil_cases]57.sno = 0{p_end}
{p 0 7}{space 1}{text:(72)}{space 1} [total_civil_cases]58.sno = 0{p_end}
{p 0 7}{space 1}{text:(73)}{space 1} [total_civil_cases]59.sno = 0{p_end}
{p 0 7}{space 1}{text:(74)}{space 1} [total_civil_cases]60.sno = 0{p_end}
{p 0 7}{space 1}{text:(75)}{space 1} [total_civil_cases]61.sno = 0{p_end}
{p 0 7}{space 1}{text:(76)}{space 1} [total_civil_cases]62.sno = 0{p_end}
{p 0 7}{space 1}{text:(77)}{space 1} [total_civil_cases]63.sno = 0{p_end}
{p 0 7}{space 1}{text:(78)}{space 1} [total_civil_cases]64o.sno = 0{p_end}
{p 0 7}{space 1}{text:(79)}{space 1} [total_civil_cases]65.sno = 0{p_end}
{p 0 7}{space 1}{text:(80)}{space 1} [total_civil_cases]66.sno = 0{p_end}
{p 0 7}{space 1}{text:(81)}{space 1} [total_civil_cases]67.sno = 0{p_end}
{p 0 7}{space 1}{text:(82)}{space 1} [total_civil_cases]68.sno = 0{p_end}
{p 0 7}{space 1}{text:(83)}{space 1} [total_civil_cases]69.sno = 0{p_end}
{p 0 7}{space 1}{text:(84)}{space 1} [total_civil_cases]70o.sno = 0{p_end}
{p 0 7}{space 1}{text:(85)}{space 1} [total_civil_cases]71o.sno = 0{p_end}
{p 0 7}{space 1}{text:(86)}{space 1} [total_civil_cases]72o.sno = 0{p_end}
{p 0 7}{space 1}{text:(87)}{space 1} [total_civil_cases]73o.sno = 0{p_end}
{p 0 7}{space 1}{text:(88)}{space 1} [total_civil_cases]74.sno = 0{p_end}
{p 0 7}{space 1}{text:(89)}{space 1} [total_civil_cases]75o.sno = 0{p_end}
       {txt}Constraint 15 dropped
       Constraint 49 dropped
       Constraint 78 dropped
       Constraint 84 dropped
       Constraint 85 dropped
       Constraint 86 dropped
       Constraint 87 dropped
       Constraint 89 dropped

           chi2( 81) ={res} 2012.80
         {txt}Prob > chi2 ={res}    0.0000

{txt}
{com}. test  ln_cum_state_victims peoples_govt_active

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[total_civil_cases]ln_cum_state_victims = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} [total_civil_cases]peoples_govt_active = 0{p_end}

{txt}{col 12}chi2(  2) ={res}  201.72
{txt}{col 10}Prob > chi2 =  {res}  0.0000
{txt}
{com}. estat ic

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}       825{col 27}        .{col 38}-4743.652{col 49}    84{col 58} 9655.304{col 69}  10051.4
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. //////////////////////
> //prediction after the model CIVIL CASES
. xtnbreg total_civil_cases lag_civil_cases  ln_cum_state_victims peoples_govt_active ln_pop percent_votes1991_1999_GAP   ///
> litrate_1991_2001_GAP road_density_GAP year2002  hilli_region mountain_region region_east region_mid region_west region_farwest i.sno if year>1995 & year<2007 
{txt}note: 35.sno omitted because of collinearity
note: 64.sno omitted because of collinearity
note: 70.sno omitted because of collinearity
note: 71.sno omitted because of collinearity
note: 72.sno omitted because of collinearity
note: 73.sno omitted because of collinearity
note: 75.sno omitted because of collinearity

Fitting negative binomial (constant dispersion) model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1204411.1}  
Iteration 1:{space 3}log likelihood = {res:-433092.39}  
Iteration 2:{space 3}log likelihood = {res: -224071.4}  
Iteration 3:{space 3}log likelihood = {res:-18839.505}  
Iteration 4:{space 3}log likelihood = {res:-14680.163}  
Iteration 5:{space 3}log likelihood = {res:-14670.776}  
Iteration 6:{space 3}log likelihood = {res:-14670.776}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-220243.62}  
Iteration 1:{space 3}log likelihood = {res:-18470.292}  
Iteration 2:{space 3}log likelihood = {res:-7456.0091}  (backed up)
Iteration 3:{space 3}log likelihood = {res:-6120.0465}  
Iteration 4:{space 3}log likelihood = {res:-6050.9396}  
Iteration 5:{space 3}log likelihood = {res:-6046.5021}  
Iteration 6:{space 3}log likelihood = {res:-6046.4926}  
Iteration 7:{space 3}log likelihood = {res:-6046.4926}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-6046.4926}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-5875.6212}  (not concave)
Iteration 2:{space 3}log likelihood = {res: -5681.252}  (not concave)
Iteration 3:{space 3}log likelihood = {res:-5288.2436}  (not concave)
Iteration 4:{space 3}log likelihood = {res:-5098.3243}  
Iteration 5:{space 3}log likelihood = {res:-4966.3233}  
Iteration 6:{space 3}log likelihood = {res:-4777.1336}  
Iteration 7:{space 3}log likelihood = {res:-4725.7254}  
Iteration 8:{space 3}log likelihood = {res:-4724.9489}  
Iteration 9:{space 3}log likelihood = {res: -4724.948}  
Iteration 10:{space 2}log likelihood = {res: -4724.948}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-9391.8282}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-9323.1706}  (not concave)
Iteration 2:{space 3}log likelihood = {res:-8444.5378}  (not concave)
Iteration 3:{space 3}log likelihood = {res:-5816.1729}  (not concave)
Iteration 4:{space 3}log likelihood = {res:-5262.0037}  (not concave)
Iteration 5:{space 3}log likelihood = {res:-4928.8023}  (not concave)
Iteration 6:{space 3}log likelihood = {res:-4834.3813}  (not concave)
Iteration 7:{space 3}log likelihood = {res:-4812.4683}  
Iteration 8:{space 3}log likelihood = {res:-4788.4086}  (backed up)
Iteration 9:{space 3}log likelihood = {res:-4781.9716}  (not concave)
Iteration 10:{space 2}log likelihood = {res:-4762.9186}  (not concave)
Iteration 11:{space 2}log likelihood = {res:-4758.1642}  (not concave)
Iteration 12:{space 2}log likelihood = {res:  -4755.73}  
Iteration 13:{space 2}log likelihood = {res: -4752.078}  
Iteration 14:{space 2}log likelihood = {res:-4743.8785}  
Iteration 15:{space 2}log likelihood = {res:-4743.6526}  
Iteration 16:{space 2}log likelihood = {res:-4743.6518}  
Iteration 17:{space 2}log likelihood = {res:-4743.6518}  
{res}
{txt}Random-effects negative binomial regression{col 49}Number of obs{col 67}={col 69}{res}       825
{txt}Group variable: {res}sno{col 49}{txt}Number of groups{col 67}={col 69}{res}        75

{txt}Random effects u_i ~ {res}Beta{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        11
{txt}{col 63}avg{col 67}={col 69}{res}      11.0
{txt}{col 63}max{col 67}={col 69}{res}        11

{txt}{col 49}Wald chi2({res}81{txt}){col 67}={col 70}{res}  2012.80
{txt}Log likelihood  = {res}-4743.6518{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         total_civil_cases{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}lag_civil_cases {c |}{col 28}{res}{space 2} .0001051{col 40}{space 2} .0000294{col 51}{space 1}    3.57{col 60}{space 3}0.000{col 68}{space 4} .0000475{col 81}{space 3} .0001628
{txt}{space 6}ln_cum_state_victims {c |}{col 28}{res}{space 2}-.0987939{col 40}{space 2}  .012284{col 51}{space 1}   -8.04{col 60}{space 3}0.000{col 68}{space 4}-.1228701{col 81}{space 3}-.0747177
{txt}{space 7}peoples_govt_active {c |}{col 28}{res}{space 2}-.2721115{col 40}{space 2} .0315691{col 51}{space 1}   -8.62{col 60}{space 3}0.000{col 68}{space 4}-.3339858{col 81}{space 3}-.2102371
{txt}{space 20}ln_pop {c |}{col 28}{res}{space 2} .6129042{col 40}{space 2} .1607476{col 51}{space 1}    3.81{col 60}{space 3}0.000{col 68}{space 4} .2978448{col 81}{space 3} .9279636
{txt}percent_votes1991_1999_GAP {c |}{col 28}{res}{space 2} .0069685{col 40}{space 2} .0048345{col 51}{space 1}    1.44{col 60}{space 3}0.149{col 68}{space 4} -.002507{col 81}{space 3} .0164439
{txt}{space 5}litrate_1991_2001_GAP {c |}{col 28}{res}{space 2} .0007475{col 40}{space 2} .0035525{col 51}{space 1}    0.21{col 60}{space 3}0.833{col 68}{space 4}-.0062152{col 81}{space 3} .0077102
{txt}{space 10}road_density_GAP {c |}{col 28}{res}{space 2}-19.36919{col 40}{space 2} 13.04016{col 51}{space 1}   -1.49{col 60}{space 3}0.137{col 68}{space 4}-44.92744{col 81}{space 3} 6.189061
{txt}{space 18}year2002 {c |}{col 28}{res}{space 2} .1461328{col 40}{space 2} .0361784{col 51}{space 1}    4.04{col 60}{space 3}0.000{col 68}{space 4} .0752244{col 81}{space 3} .2170412
{txt}{space 14}hilli_region {c |}{col 28}{res}{space 2} -2.38935{col 40}{space 2} .5409039{col 51}{space 1}   -4.42{col 60}{space 3}0.000{col 68}{space 4}-3.449502{col 81}{space 3}-1.329198
{txt}{space 11}mountain_region {c |}{col 28}{res}{space 2}-3.830389{col 40}{space 2} 1.686414{col 51}{space 1}   -2.27{col 60}{space 3}0.023{col 68}{space 4}-7.135699{col 81}{space 3}-.5250785
{txt}{space 15}region_east {c |}{col 28}{res}{space 2} 5.310117{col 40}{space 2} 3.299962{col 51}{space 1}    1.61{col 60}{space 3}0.108{col 68}{space 4} -1.15769{col 81}{space 3} 11.77792
{txt}{space 16}region_mid {c |}{col 28}{res}{space 2} -1.88408{col 40}{space 2} 1.087625{col 51}{space 1}   -1.73{col 60}{space 3}0.083{col 68}{space 4}-4.015785{col 81}{space 3} .2476246
{txt}{space 15}region_west {c |}{col 28}{res}{space 2}-.0501216{col 40}{space 2} .6096119{col 51}{space 1}   -0.08{col 60}{space 3}0.934{col 68}{space 4}-1.244939{col 81}{space 3} 1.144696
{txt}{space 12}region_farwest {c |}{col 28}{res}{space 2} 1.717095{col 40}{space 2} .6999852{col 51}{space 1}    2.45{col 60}{space 3}0.014{col 68}{space 4} .3451491{col 81}{space 3} 3.089041
{txt}{space 26} {c |}
{space 23}sno {c |}
{space 24}2  {c |}{col 28}{res}{space 2}-1.074743{col 40}{space 2} 1.986253{col 51}{space 1}   -0.54{col 60}{space 3}0.588{col 68}{space 4}-4.967728{col 81}{space 3} 2.818241
{txt}{space 24}3  {c |}{col 28}{res}{space 2}-2.218769{col 40}{space 2} 2.948542{col 51}{space 1}   -0.75{col 60}{space 3}0.452{col 68}{space 4}-7.997806{col 81}{space 3} 3.560268
{txt}{space 24}4  {c |}{col 28}{res}{space 2}-3.162714{col 40}{space 2} 3.179808{col 51}{space 1}   -0.99{col 60}{space 3}0.320{col 68}{space 4}-9.395024{col 81}{space 3} 3.069597
{txt}{space 24}5  {c |}{col 28}{res}{space 2}-.3566112{col 40}{space 2} .5759363{col 51}{space 1}   -0.62{col 60}{space 3}0.536{col 68}{space 4}-1.485426{col 81}{space 3} .7722033
{txt}{space 24}6  {c |}{col 28}{res}{space 2}-.1082087{col 40}{space 2} .5723527{col 51}{space 1}   -0.19{col 60}{space 3}0.850{col 68}{space 4}-1.229999{col 81}{space 3} 1.013582
{txt}{space 24}7  {c |}{col 28}{res}{space 2}-.9466626{col 40}{space 2} 1.983117{col 51}{space 1}   -0.48{col 60}{space 3}0.633{col 68}{space 4}-4.833501{col 81}{space 3} 2.940176
{txt}{space 24}8  {c |}{col 28}{res}{space 2} -3.88731{col 40}{space 2} 3.852086{col 51}{space 1}   -1.01{col 60}{space 3}0.313{col 68}{space 4}-11.43726{col 81}{space 3} 3.662641
{txt}{space 24}9  {c |}{col 28}{res}{space 2}-5.690401{col 40}{space 2} 4.728425{col 51}{space 1}   -1.20{col 60}{space 3}0.229{col 68}{space 4}-14.95794{col 81}{space 3} 3.577142
{txt}{space 23}10  {c |}{col 28}{res}{space 2}-4.835346{col 40}{space 2} 3.188843{col 51}{space 1}   -1.52{col 60}{space 3}0.129{col 68}{space 4}-11.08536{col 81}{space 3} 1.414671
{txt}{space 23}11  {c |}{col 28}{res}{space 2}-3.240105{col 40}{space 2}  1.95847{col 51}{space 1}   -1.65{col 60}{space 3}0.098{col 68}{space 4}-7.078636{col 81}{space 3}  .598426
{txt}{space 23}12  {c |}{col 28}{res}{space 2}-2.107366{col 40}{space 2} 1.656139{col 51}{space 1}   -1.27{col 60}{space 3}0.203{col 68}{space 4}-5.353338{col 81}{space 3} 1.138607
{txt}{space 23}13  {c |}{col 28}{res}{space 2}-2.081703{col 40}{space 2} 3.485697{col 51}{space 1}   -0.60{col 60}{space 3}0.550{col 68}{space 4}-8.913543{col 81}{space 3} 4.750138
{txt}{space 23}14  {c |}{col 28}{res}{space 2}-6.325631{col 40}{space 2} 4.765713{col 51}{space 1}   -1.33{col 60}{space 3}0.184{col 68}{space 4}-15.66626{col 81}{space 3} 3.014995
{txt}{space 23}15  {c |}{col 28}{res}{space 2}-4.013036{col 40}{space 2} 4.253657{col 51}{space 1}   -0.94{col 60}{space 3}0.345{col 68}{space 4}-12.35005{col 81}{space 3}  4.32398
{txt}{space 23}16  {c |}{col 28}{res}{space 2}-5.190761{col 40}{space 2} 3.314428{col 51}{space 1}   -1.57{col 60}{space 3}0.117{col 68}{space 4}-11.68692{col 81}{space 3} 1.305398
{txt}{space 23}17  {c |}{col 28}{res}{space 2} 11.22919{col 40}{space 2} 6.618398{col 51}{space 1}    1.70{col 60}{space 3}0.090{col 68}{space 4}-1.742629{col 81}{space 3} 24.20101
{txt}{space 23}18  {c |}{col 28}{res}{space 2} 8.743612{col 40}{space 2} 5.166445{col 51}{space 1}    1.69{col 60}{space 3}0.091{col 68}{space 4}-1.382435{col 81}{space 3} 18.86966
{txt}{space 23}19  {c |}{col 28}{res}{space 2}  8.33602{col 40}{space 2} 4.378206{col 51}{space 1}    1.90{col 60}{space 3}0.057{col 68}{space 4}-.2451067{col 81}{space 3} 16.91715
{txt}{space 23}20  {c |}{col 28}{res}{space 2} 3.212323{col 40}{space 2} .9213644{col 51}{space 1}    3.49{col 60}{space 3}0.000{col 68}{space 4} 1.406482{col 81}{space 3} 5.018164
{txt}{space 23}21  {c |}{col 28}{res}{space 2} 2.808002{col 40}{space 2} .8663925{col 51}{space 1}    3.24{col 60}{space 3}0.001{col 68}{space 4} 1.109904{col 81}{space 3}   4.5061
{txt}{space 23}22  {c |}{col 28}{res}{space 2}  4.07896{col 40}{space 2} 2.254132{col 51}{space 1}    1.81{col 60}{space 3}0.070{col 68}{space 4}-.3390574{col 81}{space 3} 8.496977
{txt}{space 23}23  {c |}{col 28}{res}{space 2} 4.200851{col 40}{space 2}  1.80325{col 51}{space 1}    2.33{col 60}{space 3}0.020{col 68}{space 4} .6665456{col 81}{space 3} 7.735157
{txt}{space 23}24  {c |}{col 28}{res}{space 2} 5.188656{col 40}{space 2} 2.638969{col 51}{space 1}    1.97{col 60}{space 3}0.049{col 68}{space 4} .0163717{col 81}{space 3} 10.36094
{txt}{space 23}25  {c |}{col 28}{res}{space 2} 4.930714{col 40}{space 2} 2.382624{col 51}{space 1}    2.07{col 60}{space 3}0.039{col 68}{space 4} .2608559{col 81}{space 3} 9.600571
{txt}{space 23}26  {c |}{col 28}{res}{space 2} 6.669845{col 40}{space 2} 3.780612{col 51}{space 1}    1.76{col 60}{space 3}0.078{col 68}{space 4}-.7400178{col 81}{space 3} 14.07971
{txt}{space 23}27  {c |}{col 28}{res}{space 2} 5.154514{col 40}{space 2}  1.29469{col 51}{space 1}    3.98{col 60}{space 3}0.000{col 68}{space 4} 2.616969{col 81}{space 3} 7.692059
{txt}{space 23}28  {c |}{col 28}{res}{space 2} 20.54341{col 40}{space 2} 10.60178{col 51}{space 1}    1.94{col 60}{space 3}0.053{col 68}{space 4}-.2357006{col 81}{space 3} 41.32252
{txt}{space 23}29  {c |}{col 28}{res}{space 2} 31.85646{col 40}{space 2}  19.0099{col 51}{space 1}    1.68{col 60}{space 3}0.094{col 68}{space 4}-5.402257{col 81}{space 3} 69.11519
{txt}{space 23}30  {c |}{col 28}{res}{space 2} 43.77287{col 40}{space 2} 25.98064{col 51}{space 1}    1.68{col 60}{space 3}0.092{col 68}{space 4}-7.148259{col 81}{space 3} 94.69399
{txt}{space 23}31  {c |}{col 28}{res}{space 2} 8.991907{col 40}{space 2} 3.131383{col 51}{space 1}    2.87{col 60}{space 3}0.004{col 68}{space 4} 2.854508{col 81}{space 3} 15.12931
{txt}{space 23}32  {c |}{col 28}{res}{space 2}   4.6388{col 40}{space 2} 1.236826{col 51}{space 1}    3.75{col 60}{space 3}0.000{col 68}{space 4} 2.214666{col 81}{space 3} 7.062934
{txt}{space 23}33  {c |}{col 28}{res}{space 2} 1.360422{col 40}{space 2} .6693187{col 51}{space 1}    2.03{col 60}{space 3}0.042{col 68}{space 4} .0485816{col 81}{space 3} 2.672263
{txt}{space 23}34  {c |}{col 28}{res}{space 2} 6.927456{col 40}{space 2} 2.510674{col 51}{space 1}    2.76{col 60}{space 3}0.006{col 68}{space 4} 2.006625{col 81}{space 3} 11.84829
{txt}{space 23}35  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}36  {c |}{col 28}{res}{space 2} 6.492553{col 40}{space 2}  2.03084{col 51}{space 1}    3.20{col 60}{space 3}0.001{col 68}{space 4}  2.51218{col 81}{space 3} 10.47293
{txt}{space 23}37  {c |}{col 28}{res}{space 2} .3099981{col 40}{space 2} 1.395951{col 51}{space 1}    0.22{col 60}{space 3}0.824{col 68}{space 4}-2.426015{col 81}{space 3} 3.046011
{txt}{space 23}38  {c |}{col 28}{res}{space 2} 2.072717{col 40}{space 2} 1.096426{col 51}{space 1}    1.89{col 60}{space 3}0.059{col 68}{space 4}-.0762397{col 81}{space 3} 4.221673
{txt}{space 23}39  {c |}{col 28}{res}{space 2} 2.348678{col 40}{space 2} .9965296{col 51}{space 1}    2.36{col 60}{space 3}0.018{col 68}{space 4} .3955161{col 81}{space 3}  4.30184
{txt}{space 23}40  {c |}{col 28}{res}{space 2} 5.350457{col 40}{space 2} 1.410055{col 51}{space 1}    3.79{col 60}{space 3}0.000{col 68}{space 4} 2.586799{col 81}{space 3} 8.114114
{txt}{space 23}41  {c |}{col 28}{res}{space 2} .7991135{col 40}{space 2} .9463291{col 51}{space 1}    0.84{col 60}{space 3}0.398{col 68}{space 4}-1.055657{col 81}{space 3} 2.653884
{txt}{space 23}42  {c |}{col 28}{res}{space 2}  1.91983{col 40}{space 2} 1.516351{col 51}{space 1}    1.27{col 60}{space 3}0.205{col 68}{space 4}-1.052163{col 81}{space 3} 4.891822
{txt}{space 23}43  {c |}{col 28}{res}{space 2} 4.958998{col 40}{space 2} 1.538101{col 51}{space 1}    3.22{col 60}{space 3}0.001{col 68}{space 4} 1.944375{col 81}{space 3} 7.973622
{txt}{space 23}44  {c |}{col 28}{res}{space 2} 1.458873{col 40}{space 2} 1.225789{col 51}{space 1}    1.19{col 60}{space 3}0.234{col 68}{space 4}-.9436296{col 81}{space 3} 3.861375
{txt}{space 23}45  {c |}{col 28}{res}{space 2} 4.477733{col 40}{space 2} 1.138364{col 51}{space 1}    3.93{col 60}{space 3}0.000{col 68}{space 4} 2.246581{col 81}{space 3} 6.708884
{txt}{space 23}46  {c |}{col 28}{res}{space 2} 3.152123{col 40}{space 2} .9854364{col 51}{space 1}    3.20{col 60}{space 3}0.001{col 68}{space 4} 1.220703{col 81}{space 3} 5.083543
{txt}{space 23}47  {c |}{col 28}{res}{space 2} .8558385{col 40}{space 2} 1.646653{col 51}{space 1}    0.52{col 60}{space 3}0.603{col 68}{space 4}-2.371542{col 81}{space 3} 4.083219
{txt}{space 23}48  {c |}{col 28}{res}{space 2} 2.909498{col 40}{space 2} .8531211{col 51}{space 1}    3.41{col 60}{space 3}0.001{col 68}{space 4} 1.237411{col 81}{space 3} 4.581585
{txt}{space 23}49  {c |}{col 28}{res}{space 2} .4540019{col 40}{space 2} 1.660664{col 51}{space 1}    0.27{col 60}{space 3}0.785{col 68}{space 4}-2.800839{col 81}{space 3} 3.708843
{txt}{space 23}50  {c |}{col 28}{res}{space 2} 1.239347{col 40}{space 2} 1.100042{col 51}{space 1}    1.13{col 60}{space 3}0.260{col 68}{space 4}-.9166952{col 81}{space 3}  3.39539
{txt}{space 23}51  {c |}{col 28}{res}{space 2} 2.969922{col 40}{space 2} .8570042{col 51}{space 1}    3.47{col 60}{space 3}0.001{col 68}{space 4} 1.290225{col 81}{space 3} 4.649619
{txt}{space 23}52  {c |}{col 28}{res}{space 2}-.4653938{col 40}{space 2} 1.387096{col 51}{space 1}   -0.34{col 60}{space 3}0.737{col 68}{space 4}-3.184051{col 81}{space 3} 2.253264
{txt}{space 23}53  {c |}{col 28}{res}{space 2} 2.371989{col 40}{space 2} .8386686{col 51}{space 1}    2.83{col 60}{space 3}0.005{col 68}{space 4} .7282288{col 81}{space 3} 4.015749
{txt}{space 23}54  {c |}{col 28}{res}{space 2}-.8516064{col 40}{space 2}   1.5408{col 51}{space 1}   -0.55{col 60}{space 3}0.580{col 68}{space 4} -3.87152{col 81}{space 3} 2.168307
{txt}{space 23}55  {c |}{col 28}{res}{space 2} 1.231263{col 40}{space 2}  .959333{col 51}{space 1}    1.28{col 60}{space 3}0.199{col 68}{space 4}-.6489948{col 81}{space 3} 3.111521
{txt}{space 23}56  {c |}{col 28}{res}{space 2} .4569554{col 40}{space 2}  .891165{col 51}{space 1}    0.51{col 60}{space 3}0.608{col 68}{space 4}-1.289696{col 81}{space 3} 2.203607
{txt}{space 23}57  {c |}{col 28}{res}{space 2} 3.324222{col 40}{space 2} .8507665{col 51}{space 1}    3.91{col 60}{space 3}0.000{col 68}{space 4}  1.65675{col 81}{space 3} 4.991694
{txt}{space 23}58  {c |}{col 28}{res}{space 2}-1.594442{col 40}{space 2} 1.563363{col 51}{space 1}   -1.02{col 60}{space 3}0.308{col 68}{space 4}-4.658577{col 81}{space 3} 1.469693
{txt}{space 23}59  {c |}{col 28}{res}{space 2} .9589864{col 40}{space 2}  .773093{col 51}{space 1}    1.24{col 60}{space 3}0.215{col 68}{space 4} -.556248{col 81}{space 3} 2.474221
{txt}{space 23}60  {c |}{col 28}{res}{space 2} .6094693{col 40}{space 2} .5469961{col 51}{space 1}    1.11{col 60}{space 3}0.265{col 68}{space 4}-.4626233{col 81}{space 3} 1.681562
{txt}{space 23}61  {c |}{col 28}{res}{space 2} .1195833{col 40}{space 2} .5283908{col 51}{space 1}    0.23{col 60}{space 3}0.821{col 68}{space 4}-.9160436{col 81}{space 3}  1.15521
{txt}{space 23}62  {c |}{col 28}{res}{space 2}-1.530069{col 40}{space 2} 1.675224{col 51}{space 1}   -0.91{col 60}{space 3}0.361{col 68}{space 4}-4.813447{col 81}{space 3} 1.753309
{txt}{space 23}63  {c |}{col 28}{res}{space 2} 1.123573{col 40}{space 2} .5408292{col 51}{space 1}    2.08{col 60}{space 3}0.038{col 68}{space 4} .0635673{col 81}{space 3} 2.183579
{txt}{space 23}64  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}65  {c |}{col 28}{res}{space 2}-1.632736{col 40}{space 2} .6355501{col 51}{space 1}   -2.57{col 60}{space 3}0.010{col 68}{space 4}-2.878391{col 81}{space 3}-.3870808
{txt}{space 23}66  {c |}{col 28}{res}{space 2}-3.002549{col 40}{space 2} 1.206274{col 51}{space 1}   -2.49{col 60}{space 3}0.013{col 68}{space 4}-5.366802{col 81}{space 3}-.6382952
{txt}{space 23}67  {c |}{col 28}{res}{space 2}-.9798013{col 40}{space 2} .8035584{col 51}{space 1}   -1.22{col 60}{space 3}0.223{col 68}{space 4}-2.554747{col 81}{space 3} .5951442
{txt}{space 23}68  {c |}{col 28}{res}{space 2}-2.128315{col 40}{space 2}  .655976{col 51}{space 1}   -3.24{col 60}{space 3}0.001{col 68}{space 4}-3.414005{col 81}{space 3}-.8426261
{txt}{space 23}69  {c |}{col 28}{res}{space 2}-.5088023{col 40}{space 2} .6274143{col 51}{space 1}   -0.81{col 60}{space 3}0.417{col 68}{space 4}-1.738512{col 81}{space 3} .7209072
{txt}{space 23}70  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}71  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}72  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}73  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}74  {c |}{col 28}{res}{space 2}-.3715737{col 40}{space 2} .7295443{col 51}{space 1}   -0.51{col 60}{space 3}0.611{col 68}{space 4}-1.801454{col 81}{space 3} 1.058307
{txt}{space 23}75  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2}-6.149186{col 40}{space 2} 2.333973{col 51}{space 1}   -2.63{col 60}{space 3}0.008{col 68}{space 4}-10.72369{col 81}{space 3}-1.574683
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 21}/ln_r {c |}{col 28}{res}{space 2} .6024933{col 40}{space 2} .2370733{col 68}{space 4} .1378382{col 81}{space 3} 1.067148
{txt}{space 21}/ln_s {c |}{col 28}{res}{space 2} 3.287995{col 40}{space 2} .3206241{col 68}{space 4} 2.659583{col 81}{space 3} 3.916407
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                         r {c |}{col 28}{res}{space 2} 1.826667{col 40}{space 2}  .433054{col 68}{space 4}  1.14779{col 81}{space 3} 2.907078
{txt}                         s {c |}{col 28}{res}{space 2}  26.7891{col 40}{space 2} 8.589232{col 68}{space 4} 14.29033{col 81}{space 3} 50.21967
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{txt}LR test vs. pooled: {help j_chibar##|_new:chibar2(01) = }{res}0.00{col 56}{txt}Prob >= chibar2 = {res}1.000
{txt}
{com}. 
. margins, atmeans at(ln_cum_state_victims =(0(.5)6.5))
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       825
{txt}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:lag_civil_~s}{space 4}{txt:=} {space 3}689.4448 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_sta~s}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 3}.3939394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:lag_civil_~s}{space 4}{txt:=} {space 3}689.4448 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_sta~s}{space 4}{txt:=} {space 9}.5}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 3}.3939394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:lag_civil_~s}{space 4}{txt:=} {space 3}689.4448 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_sta~s}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 3}.3939394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:lag_civil_~s}{space 4}{txt:=} {space 3}689.4448 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_sta~s}{space 4}{txt:=} {space 8}1.5}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 3}.3939394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:lag_civil_~s}{space 4}{txt:=} {space 3}689.4448 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_sta~s}{space 4}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 3}.3939394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:lag_civil_~s}{space 4}{txt:=} {space 3}689.4448 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_sta~s}{space 4}{txt:=} {space 8}2.5}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 3}.3939394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:lag_civil_~s}{space 4}{txt:=} {space 3}689.4448 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_sta~s}{space 4}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 3}.3939394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:lag_civil_~s}{space 4}{txt:=} {space 3}689.4448 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_sta~s}{space 4}{txt:=} {space 8}3.5}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 3}.3939394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:lag_civil_~s}{space 4}{txt:=} {space 3}689.4448 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_sta~s}{space 4}{txt:=} {space 10}4}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 3}.3939394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:lag_civil_~s}{space 4}{txt:=} {space 3}689.4448 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_sta~s}{space 4}{txt:=} {space 8}4.5}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 3}.3939394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:lag_civil_~s}{space 4}{txt:=} {space 3}689.4448 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_sta~s}{space 4}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 3}.3939394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:lag_civil_~s}{space 4}{txt:=} {space 3}689.4448 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_sta~s}{space 4}{txt:=} {space 8}5.5}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 3}.3939394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt:lag_civil_~s}{space 4}{txt:=} {space 3}689.4448 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_sta~s}{space 4}{txt:=} {space 10}6}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 3}.3939394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:14._at}:{space 1}{res:{txt:lag_civil_~s}{space 4}{txt:=} {space 3}689.4448 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_sta~s}{space 4}{txt:=} {space 8}6.5}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 3}.3939394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 2.735897{col 26}{space 2}  .066819{col 37}{space 1}   40.94{col 46}{space 3}0.000{col 54}{space 4} 2.604934{col 67}{space 3}  2.86686
{txt}{space 10}2  {c |}{col 14}{res}{space 2}   2.6865{col 26}{space 2}  .064262{col 37}{space 1}   41.81{col 46}{space 3}0.000{col 54}{space 4} 2.560549{col 67}{space 3} 2.812451
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 2.637103{col 26}{space 2} .0622082{col 37}{space 1}   42.39{col 46}{space 3}0.000{col 54}{space 4} 2.515177{col 67}{space 3} 2.759029
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 2.587706{col 26}{space 2}  .060709{col 37}{space 1}   42.62{col 46}{space 3}0.000{col 54}{space 4} 2.468719{col 67}{space 3} 2.706693
{txt}{space 10}5  {c |}{col 14}{res}{space 2} 2.538309{col 26}{space 2} .0598059{col 37}{space 1}   42.44{col 46}{space 3}0.000{col 54}{space 4} 2.421092{col 67}{space 3} 2.655526
{txt}{space 10}6  {c |}{col 14}{res}{space 2} 2.488912{col 26}{space 2} .0595261{col 37}{space 1}   41.81{col 46}{space 3}0.000{col 54}{space 4} 2.372243{col 67}{space 3} 2.605581
{txt}{space 10}7  {c |}{col 14}{res}{space 2} 2.439515{col 26}{space 2} .0598784{col 37}{space 1}   40.74{col 46}{space 3}0.000{col 54}{space 4} 2.322156{col 67}{space 3} 2.556875
{txt}{space 10}8  {c |}{col 14}{res}{space 2} 2.390118{col 26}{space 2} .0608517{col 37}{space 1}   39.28{col 46}{space 3}0.000{col 54}{space 4} 2.270851{col 67}{space 3} 2.509385
{txt}{space 10}9  {c |}{col 14}{res}{space 2} 2.340721{col 26}{space 2}  .062417{col 37}{space 1}   37.50{col 46}{space 3}0.000{col 54}{space 4} 2.218386{col 67}{space 3} 2.463056
{txt}{space 9}10  {c |}{col 14}{res}{space 2} 2.291324{col 26}{space 2} .0645313{col 37}{space 1}   35.51{col 46}{space 3}0.000{col 54}{space 4} 2.164845{col 67}{space 3} 2.417803
{txt}{space 9}11  {c |}{col 14}{res}{space 2} 2.241927{col 26}{space 2} .0671427{col 37}{space 1}   33.39{col 46}{space 3}0.000{col 54}{space 4}  2.11033{col 67}{space 3} 2.373525
{txt}{space 9}12  {c |}{col 14}{res}{space 2} 2.192531{col 26}{space 2} .0701958{col 37}{space 1}   31.23{col 46}{space 3}0.000{col 54}{space 4} 2.054949{col 67}{space 3} 2.330112
{txt}{space 9}13  {c |}{col 14}{res}{space 2} 2.143134{col 26}{space 2} .0736356{col 37}{space 1}   29.10{col 46}{space 3}0.000{col 54}{space 4}  1.99881{col 67}{space 3} 2.287457
{txt}{space 9}14  {c |}{col 14}{res}{space 2} 2.093737{col 26}{space 2} .0774106{col 37}{space 1}   27.05{col 46}{space 3}0.000{col 54}{space 4} 1.942015{col 67}{space 3} 2.245459
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, addplot(hist ln_cum_state_victims)
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: ln_cum_state_victims{p_end}
{res}{txt}
{com}. 
. //Margins for people's government
. margins, atmeans at(peoples_govt_active=0)
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       825
{txt}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:lag_civil_~s}{space 4}{txt:=} {space 3}689.4448 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_sta~s}{space 4}{txt:=} {space 3}2.400533 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}_cons {c |}{col 14}{res}{space 2} 2.605934{col 26}{space 2} .0604848{col 37}{space 1}   43.08{col 46}{space 3}0.000{col 54}{space 4} 2.487386{col 67}{space 3} 2.724482
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, atmeans at(peoples_govt_active=1)
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       825
{txt}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:lag_civil_~s}{space 4}{txt:=} {space 3}689.4448 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_sta~s}{space 4}{txt:=} {space 3}2.400533 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}_cons {c |}{col 14}{res}{space 2} 2.333823{col 26}{space 2} .0630235{col 37}{space 1}   37.03{col 46}{space 3}0.000{col 54}{space 4} 2.210299{col 67}{space 3} 2.457347
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. //////////////////
> 
. xtnbreg total_civil_cases lag_civil_cases  ln_cum_maoist_victims peoples_govt_active ln_pop percent_votes1991_1999_GAP  ///
> litrate_1991_2001_GAP road_density_GAP year2002 hilli_region mountain_region region_east region_mid region_west region_farwest i.sno if year>1995 & year<2007 
{txt}note: 35.sno omitted because of collinearity
note: 64.sno omitted because of collinearity
note: 70.sno omitted because of collinearity
note: 71.sno omitted because of collinearity
note: 72.sno omitted because of collinearity
note: 73.sno omitted because of collinearity
note: 75.sno omitted because of collinearity

Fitting negative binomial (constant dispersion) model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1200250.7}  
Iteration 1:{space 3}log likelihood = {res:-432311.45}  
Iteration 2:{space 3}log likelihood = {res:-226096.88}  
Iteration 3:{space 3}log likelihood = {res:-19151.646}  
Iteration 4:{space 3}log likelihood = {res:-14937.532}  
Iteration 5:{space 3}log likelihood = {res:-14928.276}  
Iteration 6:{space 3}log likelihood = {res:-14928.276}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-220243.62}  
Iteration 1:{space 3}log likelihood = {res:-18470.292}  
Iteration 2:{space 3}log likelihood = {res:-7456.0091}  (backed up)
Iteration 3:{space 3}log likelihood = {res:-6120.0465}  
Iteration 4:{space 3}log likelihood = {res:-6050.9396}  
Iteration 5:{space 3}log likelihood = {res:-6046.5021}  
Iteration 6:{space 3}log likelihood = {res:-6046.4926}  
Iteration 7:{space 3}log likelihood = {res:-6046.4926}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-6046.4926}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-5875.6014}  (not concave)
Iteration 2:{space 3}log likelihood = {res:-5681.3201}  (not concave)
Iteration 3:{space 3}log likelihood = {res:-5290.1103}  (not concave)
Iteration 4:{space 3}log likelihood = {res:-5100.1856}  
Iteration 5:{space 3}log likelihood = {res:-4882.3756}  
Iteration 6:{space 3}log likelihood = {res:-4758.9246}  
Iteration 7:{space 3}log likelihood = {res: -4735.576}  
Iteration 8:{space 3}log likelihood = {res:-4735.0039}  
Iteration 9:{space 3}log likelihood = {res:-4735.0028}  
Iteration 10:{space 2}log likelihood = {res:-4735.0028}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-9535.8696}  (not concave)
Iteration 1:{space 3}log likelihood = {res: -5986.362}  (not concave)
Iteration 2:{space 3}log likelihood = {res:-5120.4185}  (not concave)
Iteration 3:{space 3}log likelihood = {res:-4935.0128}  (not concave)
Iteration 4:{space 3}log likelihood = {res:-4866.9291}  
Iteration 5:{space 3}log likelihood = {res:-4829.3565}  (backed up)
Iteration 6:{space 3}log likelihood = {res:-4774.5421}  (not concave)
Iteration 7:{space 3}log likelihood = {res:-4770.4193}  (not concave)
Iteration 8:{space 3}log likelihood = {res:-4769.4291}  (not concave)
Iteration 9:{space 3}log likelihood = {res:-4768.0681}  (not concave)
Iteration 10:{space 2}log likelihood = {res:-4767.3462}  (not concave)
Iteration 11:{space 2}log likelihood = {res:-4767.0593}  (not concave)
Iteration 12:{space 2}log likelihood = {res:-4766.9555}  (not concave)
Iteration 13:{space 2}log likelihood = {res: -4766.877}  (not concave)
Iteration 14:{space 2}log likelihood = {res:-4766.8102}  (not concave)
Iteration 15:{space 2}log likelihood = {res:-4766.7486}  (not concave)
Iteration 16:{space 2}log likelihood = {res:-4766.6783}  
Iteration 17:{space 2}log likelihood = {res:-4763.8438}  (backed up)
Iteration 18:{space 2}log likelihood = {res:-4760.2958}  
Iteration 19:{space 2}log likelihood = {res:-4760.1718}  
Iteration 20:{space 2}log likelihood = {res:-4760.1716}  
{res}
{txt}Random-effects negative binomial regression{col 49}Number of obs{col 67}={col 69}{res}       825
{txt}Group variable: {res}sno{col 49}{txt}Number of groups{col 67}={col 69}{res}        75

{txt}Random effects u_i ~ {res}Beta{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        11
{txt}{col 63}avg{col 67}={col 69}{res}      11.0
{txt}{col 63}max{col 67}={col 69}{res}        11

{txt}{col 49}Wald chi2({res}81{txt}){col 67}={col 70}{res}  1922.34
{txt}Log likelihood  = {res}-4760.1716{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         total_civil_cases{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}lag_civil_cases {c |}{col 28}{res}{space 2}  .000163{col 40}{space 2} .0000344{col 51}{space 1}    4.74{col 60}{space 3}0.000{col 68}{space 4} .0000956{col 81}{space 3} .0002303
{txt}{space 5}ln_cum_maoist_victims {c |}{col 28}{res}{space 2}-.0754101{col 40}{space 2} .0147828{col 51}{space 1}   -5.10{col 60}{space 3}0.000{col 68}{space 4}-.1043839{col 81}{space 3}-.0464362
{txt}{space 7}peoples_govt_active {c |}{col 28}{res}{space 2} -.270198{col 40}{space 2} .0367946{col 51}{space 1}   -7.34{col 60}{space 3}0.000{col 68}{space 4}-.3423141{col 81}{space 3} -.198082
{txt}{space 20}ln_pop {c |}{col 28}{res}{space 2} .3064888{col 40}{space 2} .1778958{col 51}{space 1}    1.72{col 60}{space 3}0.085{col 68}{space 4}-.0421806{col 81}{space 3} .6551581
{txt}percent_votes1991_1999_GAP {c |}{col 28}{res}{space 2} .0026028{col 40}{space 2} .0052281{col 51}{space 1}    0.50{col 60}{space 3}0.619{col 68}{space 4}-.0076441{col 81}{space 3} .0128498
{txt}{space 5}litrate_1991_2001_GAP {c |}{col 28}{res}{space 2} .0011215{col 40}{space 2} .0035498{col 51}{space 1}    0.32{col 60}{space 3}0.752{col 68}{space 4} -.005836{col 81}{space 3}  .008079
{txt}{space 10}road_density_GAP {c |}{col 28}{res}{space 2}-17.17878{col 40}{space 2} 13.07081{col 51}{space 1}   -1.31{col 60}{space 3}0.189{col 68}{space 4}-42.79709{col 81}{space 3}  8.43954
{txt}{space 18}year2002 {c |}{col 28}{res}{space 2} .0932148{col 40}{space 2} .0450062{col 51}{space 1}    2.07{col 60}{space 3}0.038{col 68}{space 4} .0050042{col 81}{space 3} .1814255
{txt}{space 14}hilli_region {c |}{col 28}{res}{space 2}-2.721852{col 40}{space 2} .5422013{col 51}{space 1}   -5.02{col 60}{space 3}0.000{col 68}{space 4}-3.784547{col 81}{space 3}-1.659157
{txt}{space 11}mountain_region {c |}{col 28}{res}{space 2}-3.971843{col 40}{space 2} 1.693521{col 51}{space 1}   -2.35{col 60}{space 3}0.019{col 68}{space 4}-7.291084{col 81}{space 3}-.6526024
{txt}{space 15}region_east {c |}{col 28}{res}{space 2} 5.213564{col 40}{space 2} 3.283943{col 51}{space 1}    1.59{col 60}{space 3}0.112{col 68}{space 4}-1.222846{col 81}{space 3} 11.64998
{txt}{space 16}region_mid {c |}{col 28}{res}{space 2} -2.28866{col 40}{space 2} 1.071516{col 51}{space 1}   -2.14{col 60}{space 3}0.033{col 68}{space 4}-4.388792{col 81}{space 3}-.1885278
{txt}{space 15}region_west {c |}{col 28}{res}{space 2}-.4420625{col 40}{space 2} .6106427{col 51}{space 1}   -0.72{col 60}{space 3}0.469{col 68}{space 4}  -1.6389{col 81}{space 3} .7547752
{txt}{space 12}region_farwest {c |}{col 28}{res}{space 2} 1.758504{col 40}{space 2} .7023129{col 51}{space 1}    2.50{col 60}{space 3}0.012{col 68}{space 4} .3819962{col 81}{space 3} 3.135012
{txt}{space 26} {c |}
{space 23}sno {c |}
{space 24}2  {c |}{col 28}{res}{space 2}-.8143417{col 40}{space 2} 1.973257{col 51}{space 1}   -0.41{col 60}{space 3}0.680{col 68}{space 4}-4.681854{col 81}{space 3}  3.05317
{txt}{space 24}3  {c |}{col 28}{res}{space 2}-2.146838{col 40}{space 2} 2.939898{col 51}{space 1}   -0.73{col 60}{space 3}0.465{col 68}{space 4}-7.908932{col 81}{space 3} 3.615255
{txt}{space 24}4  {c |}{col 28}{res}{space 2}-2.915414{col 40}{space 2} 3.166441{col 51}{space 1}   -0.92{col 60}{space 3}0.357{col 68}{space 4}-9.121525{col 81}{space 3} 3.290696
{txt}{space 24}5  {c |}{col 28}{res}{space 2}-.1187066{col 40}{space 2} .5900082{col 51}{space 1}   -0.20{col 60}{space 3}0.841{col 68}{space 4}-1.275101{col 81}{space 3} 1.037688
{txt}{space 24}6  {c |}{col 28}{res}{space 2}-.3820452{col 40}{space 2} .5769374{col 51}{space 1}   -0.66{col 60}{space 3}0.508{col 68}{space 4}-1.512822{col 81}{space 3} .7487314
{txt}{space 24}7  {c |}{col 28}{res}{space 2}-.8775758{col 40}{space 2} 1.966855{col 51}{space 1}   -0.45{col 60}{space 3}0.655{col 68}{space 4}-4.732541{col 81}{space 3}  2.97739
{txt}{space 24}8  {c |}{col 28}{res}{space 2}-3.662086{col 40}{space 2} 3.836351{col 51}{space 1}   -0.95{col 60}{space 3}0.340{col 68}{space 4}-11.18119{col 81}{space 3} 3.857024
{txt}{space 24}9  {c |}{col 28}{res}{space 2}-5.214162{col 40}{space 2} 4.721311{col 51}{space 1}   -1.10{col 60}{space 3}0.269{col 68}{space 4}-14.46776{col 81}{space 3} 4.039439
{txt}{space 23}10  {c |}{col 28}{res}{space 2}-4.553373{col 40}{space 2} 3.182231{col 51}{space 1}   -1.43{col 60}{space 3}0.152{col 68}{space 4}-10.79043{col 81}{space 3} 1.683685
{txt}{space 23}11  {c |}{col 28}{res}{space 2}-3.335652{col 40}{space 2} 1.984636{col 51}{space 1}   -1.68{col 60}{space 3}0.093{col 68}{space 4}-7.225467{col 81}{space 3}  .554164
{txt}{space 23}12  {c |}{col 28}{res}{space 2}-1.968615{col 40}{space 2} 1.679946{col 51}{space 1}   -1.17{col 60}{space 3}0.241{col 68}{space 4}-5.261248{col 81}{space 3} 1.324018
{txt}{space 23}13  {c |}{col 28}{res}{space 2}-1.607637{col 40}{space 2} 3.466469{col 51}{space 1}   -0.46{col 60}{space 3}0.643{col 68}{space 4}-8.401791{col 81}{space 3} 5.186516
{txt}{space 23}14  {c |}{col 28}{res}{space 2} -5.72952{col 40}{space 2} 4.758992{col 51}{space 1}   -1.20{col 60}{space 3}0.229{col 68}{space 4}-15.05697{col 81}{space 3} 3.597932
{txt}{space 23}15  {c |}{col 28}{res}{space 2}-3.666839{col 40}{space 2} 4.241019{col 51}{space 1}   -0.86{col 60}{space 3}0.387{col 68}{space 4}-11.97908{col 81}{space 3} 4.645406
{txt}{space 23}16  {c |}{col 28}{res}{space 2} -4.91466{col 40}{space 2} 3.303809{col 51}{space 1}   -1.49{col 60}{space 3}0.137{col 68}{space 4}-11.39001{col 81}{space 3} 1.560687
{txt}{space 23}17  {c |}{col 28}{res}{space 2}  10.9657{col 40}{space 2} 6.601805{col 51}{space 1}    1.66{col 60}{space 3}0.097{col 68}{space 4}-1.973601{col 81}{space 3}   23.905
{txt}{space 23}18  {c |}{col 28}{res}{space 2} 8.455868{col 40}{space 2}   5.1444{col 51}{space 1}    1.64{col 60}{space 3}0.100{col 68}{space 4}-1.626972{col 81}{space 3} 18.53871
{txt}{space 23}19  {c |}{col 28}{res}{space 2} 7.839472{col 40}{space 2} 4.348423{col 51}{space 1}    1.80{col 60}{space 3}0.071{col 68}{space 4}-.6832804{col 81}{space 3} 16.36222
{txt}{space 23}20  {c |}{col 28}{res}{space 2}  4.04951{col 40}{space 2} .9237887{col 51}{space 1}    4.38{col 60}{space 3}0.000{col 68}{space 4} 2.238918{col 81}{space 3} 5.860103
{txt}{space 23}21  {c |}{col 28}{res}{space 2} 3.562587{col 40}{space 2} .8620895{col 51}{space 1}    4.13{col 60}{space 3}0.000{col 68}{space 4} 1.872922{col 81}{space 3} 5.252251
{txt}{space 23}22  {c |}{col 28}{res}{space 2} 4.662254{col 40}{space 2} 2.239969{col 51}{space 1}    2.08{col 60}{space 3}0.037{col 68}{space 4} .2719962{col 81}{space 3} 9.052513
{txt}{space 23}23  {c |}{col 28}{res}{space 2} 4.170662{col 40}{space 2} 1.783707{col 51}{space 1}    2.34{col 60}{space 3}0.019{col 68}{space 4} .6746619{col 81}{space 3} 7.666663
{txt}{space 23}24  {c |}{col 28}{res}{space 2} 5.255792{col 40}{space 2}  2.61405{col 51}{space 1}    2.01{col 60}{space 3}0.044{col 68}{space 4} .1323482{col 81}{space 3} 10.37924
{txt}{space 23}25  {c |}{col 28}{res}{space 2}  4.84593{col 40}{space 2} 2.356918{col 51}{space 1}    2.06{col 60}{space 3}0.040{col 68}{space 4} .2264552{col 81}{space 3} 9.465404
{txt}{space 23}26  {c |}{col 28}{res}{space 2} 6.822149{col 40}{space 2} 3.771244{col 51}{space 1}    1.81{col 60}{space 3}0.070{col 68}{space 4}-.5693539{col 81}{space 3} 14.21365
{txt}{space 23}27  {c |}{col 28}{res}{space 2} 5.974827{col 40}{space 2} 1.293161{col 51}{space 1}    4.62{col 60}{space 3}0.000{col 68}{space 4} 3.440278{col 81}{space 3} 8.509377
{txt}{space 23}28  {c |}{col 28}{res}{space 2} 19.26143{col 40}{space 2} 10.59788{col 51}{space 1}    1.82{col 60}{space 3}0.069{col 68}{space 4}-1.510039{col 81}{space 3} 40.03291
{txt}{space 23}29  {c |}{col 28}{res}{space 2} 29.47175{col 40}{space 2} 19.04685{col 51}{space 1}    1.55{col 60}{space 3}0.122{col 68}{space 4} -7.85939{col 81}{space 3}  66.8029
{txt}{space 23}30  {c |}{col 28}{res}{space 2} 39.22555{col 40}{space 2} 25.96328{col 51}{space 1}    1.51{col 60}{space 3}0.131{col 68}{space 4}-11.66154{col 81}{space 3} 90.11264
{txt}{space 23}31  {c |}{col 28}{res}{space 2} 9.617557{col 40}{space 2} 3.146186{col 51}{space 1}    3.06{col 60}{space 3}0.002{col 68}{space 4} 3.451145{col 81}{space 3} 15.78397
{txt}{space 23}32  {c |}{col 28}{res}{space 2} 5.468544{col 40}{space 2} 1.239762{col 51}{space 1}    4.41{col 60}{space 3}0.000{col 68}{space 4} 3.038655{col 81}{space 3} 7.898432
{txt}{space 23}33  {c |}{col 28}{res}{space 2} 1.925556{col 40}{space 2} .6671126{col 51}{space 1}    2.89{col 60}{space 3}0.004{col 68}{space 4}  .618039{col 81}{space 3} 3.233072
{txt}{space 23}34  {c |}{col 28}{res}{space 2} 7.145146{col 40}{space 2} 2.502012{col 51}{space 1}    2.86{col 60}{space 3}0.004{col 68}{space 4} 2.241292{col 81}{space 3}   12.049
{txt}{space 23}35  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}36  {c |}{col 28}{res}{space 2} 6.804947{col 40}{space 2} 2.023336{col 51}{space 1}    3.36{col 60}{space 3}0.001{col 68}{space 4} 2.839281{col 81}{space 3} 10.77061
{txt}{space 23}37  {c |}{col 28}{res}{space 2} 1.092663{col 40}{space 2} 1.421737{col 51}{space 1}    0.77{col 60}{space 3}0.442{col 68}{space 4} -1.69389{col 81}{space 3} 3.879216
{txt}{space 23}38  {c |}{col 28}{res}{space 2} 2.580202{col 40}{space 2} 1.115642{col 51}{space 1}    2.31{col 60}{space 3}0.021{col 68}{space 4} .3935828{col 81}{space 3}  4.76682
{txt}{space 23}39  {c |}{col 28}{res}{space 2} 3.312682{col 40}{space 2} .9975755{col 51}{space 1}    3.32{col 60}{space 3}0.001{col 68}{space 4}  1.35747{col 81}{space 3} 5.267894
{txt}{space 23}40  {c |}{col 28}{res}{space 2} 5.880549{col 40}{space 2} 1.403127{col 51}{space 1}    4.19{col 60}{space 3}0.000{col 68}{space 4} 3.130471{col 81}{space 3} 8.630627
{txt}{space 23}41  {c |}{col 28}{res}{space 2} 1.190148{col 40}{space 2} .9870319{col 51}{space 1}    1.21{col 60}{space 3}0.228{col 68}{space 4}-.7443988{col 81}{space 3} 3.124695
{txt}{space 23}42  {c |}{col 28}{res}{space 2} 2.966415{col 40}{space 2} 1.488037{col 51}{space 1}    1.99{col 60}{space 3}0.046{col 68}{space 4} .0499154{col 81}{space 3} 5.882915
{txt}{space 23}43  {c |}{col 28}{res}{space 2} 5.211999{col 40}{space 2} 1.520821{col 51}{space 1}    3.43{col 60}{space 3}0.001{col 68}{space 4} 2.231245{col 81}{space 3} 8.192754
{txt}{space 23}44  {c |}{col 28}{res}{space 2} 2.048565{col 40}{space 2} 1.215304{col 51}{space 1}    1.69{col 60}{space 3}0.092{col 68}{space 4}-.3333874{col 81}{space 3} 4.430517
{txt}{space 23}45  {c |}{col 28}{res}{space 2} 4.942773{col 40}{space 2} 1.137801{col 51}{space 1}    4.34{col 60}{space 3}0.000{col 68}{space 4} 2.712723{col 81}{space 3} 7.172823
{txt}{space 23}46  {c |}{col 28}{res}{space 2} 3.812118{col 40}{space 2} .9832555{col 51}{space 1}    3.88{col 60}{space 3}0.000{col 68}{space 4} 1.884972{col 81}{space 3} 5.739263
{txt}{space 23}47  {c |}{col 28}{res}{space 2} 1.785942{col 40}{space 2} 1.667951{col 51}{space 1}    1.07{col 60}{space 3}0.284{col 68}{space 4}-1.483181{col 81}{space 3} 5.055065
{txt}{space 23}48  {c |}{col 28}{res}{space 2} 3.483182{col 40}{space 2} .8568059{col 51}{space 1}    4.07{col 60}{space 3}0.000{col 68}{space 4} 1.803873{col 81}{space 3} 5.162491
{txt}{space 23}49  {c |}{col 28}{res}{space 2} 1.083146{col 40}{space 2} 1.672798{col 51}{space 1}    0.65{col 60}{space 3}0.517{col 68}{space 4}-2.195477{col 81}{space 3} 4.361769
{txt}{space 23}50  {c |}{col 28}{res}{space 2} 1.213333{col 40}{space 2} 1.079997{col 51}{space 1}    1.12{col 60}{space 3}0.261{col 68}{space 4}-.9034232{col 81}{space 3} 3.330089
{txt}{space 23}51  {c |}{col 28}{res}{space 2} 3.064879{col 40}{space 2} .8573124{col 51}{space 1}    3.57{col 60}{space 3}0.000{col 68}{space 4} 1.384577{col 81}{space 3}  4.74518
{txt}{space 23}52  {c |}{col 28}{res}{space 2}-.2448375{col 40}{space 2} 1.397654{col 51}{space 1}   -0.18{col 60}{space 3}0.861{col 68}{space 4}-2.984188{col 81}{space 3} 2.494514
{txt}{space 23}53  {c |}{col 28}{res}{space 2} 2.439264{col 40}{space 2} .8367197{col 51}{space 1}    2.92{col 60}{space 3}0.004{col 68}{space 4} .7993239{col 81}{space 3} 4.079205
{txt}{space 23}54  {c |}{col 28}{res}{space 2}-.5418917{col 40}{space 2} 1.550407{col 51}{space 1}   -0.35{col 60}{space 3}0.727{col 68}{space 4}-3.580633{col 81}{space 3}  2.49685
{txt}{space 23}55  {c |}{col 28}{res}{space 2} 1.277984{col 40}{space 2} .9479632{col 51}{space 1}    1.35{col 60}{space 3}0.178{col 68}{space 4}-.5799895{col 81}{space 3} 3.135958
{txt}{space 23}56  {c |}{col 28}{res}{space 2} .5572022{col 40}{space 2} .8783036{col 51}{space 1}    0.63{col 60}{space 3}0.526{col 68}{space 4}-1.164241{col 81}{space 3} 2.278646
{txt}{space 23}57  {c |}{col 28}{res}{space 2} 3.516186{col 40}{space 2} .8481205{col 51}{space 1}    4.15{col 60}{space 3}0.000{col 68}{space 4}   1.8539{col 81}{space 3} 5.178472
{txt}{space 23}58  {c |}{col 28}{res}{space 2}-1.227845{col 40}{space 2} 1.564636{col 51}{space 1}   -0.78{col 60}{space 3}0.433{col 68}{space 4}-4.294476{col 81}{space 3} 1.838786
{txt}{space 23}59  {c |}{col 28}{res}{space 2} 1.353412{col 40}{space 2} .7673838{col 51}{space 1}    1.76{col 60}{space 3}0.078{col 68}{space 4}-.1506323{col 81}{space 3} 2.857457
{txt}{space 23}60  {c |}{col 28}{res}{space 2} .4462859{col 40}{space 2} .5458696{col 51}{space 1}    0.82{col 60}{space 3}0.414{col 68}{space 4}-.6235988{col 81}{space 3} 1.516171
{txt}{space 23}61  {c |}{col 28}{res}{space 2} .2189106{col 40}{space 2}  .529955{col 51}{space 1}    0.41{col 60}{space 3}0.680{col 68}{space 4}-.8197821{col 81}{space 3} 1.257603
{txt}{space 23}62  {c |}{col 28}{res}{space 2}-1.310951{col 40}{space 2} 1.678138{col 51}{space 1}   -0.78{col 60}{space 3}0.435{col 68}{space 4}-4.600041{col 81}{space 3} 1.978139
{txt}{space 23}63  {c |}{col 28}{res}{space 2} .8856519{col 40}{space 2} .5354977{col 51}{space 1}    1.65{col 60}{space 3}0.098{col 68}{space 4}-.1639043{col 81}{space 3} 1.935208
{txt}{space 23}64  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}65  {c |}{col 28}{res}{space 2}-1.537476{col 40}{space 2} .6423481{col 51}{space 1}   -2.39{col 60}{space 3}0.017{col 68}{space 4}-2.796455{col 81}{space 3}-.2784971
{txt}{space 23}66  {c |}{col 28}{res}{space 2}-2.613931{col 40}{space 2} 1.207887{col 51}{space 1}   -2.16{col 60}{space 3}0.030{col 68}{space 4}-4.981345{col 81}{space 3} -.246516
{txt}{space 23}67  {c |}{col 28}{res}{space 2}-.7416676{col 40}{space 2}  .801329{col 51}{space 1}   -0.93{col 60}{space 3}0.355{col 68}{space 4}-2.312244{col 81}{space 3} .8289084
{txt}{space 23}68  {c |}{col 28}{res}{space 2}-2.068394{col 40}{space 2} .6550893{col 51}{space 1}   -3.16{col 60}{space 3}0.002{col 68}{space 4}-3.352346{col 81}{space 3}-.7844429
{txt}{space 23}69  {c |}{col 28}{res}{space 2} -.400316{col 40}{space 2} .6256477{col 51}{space 1}   -0.64{col 60}{space 3}0.522{col 68}{space 4}-1.626563{col 81}{space 3} .8259309
{txt}{space 23}70  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}71  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}72  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}73  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}74  {c |}{col 28}{res}{space 2}-.8453712{col 40}{space 2} .7338629{col 51}{space 1}   -1.15{col 60}{space 3}0.249{col 68}{space 4}-2.283716{col 81}{space 3} .5929737
{txt}{space 23}75  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2}-2.237609{col 40}{space 2} 2.518262{col 51}{space 1}   -0.89{col 60}{space 3}0.374{col 68}{space 4}-7.173313{col 81}{space 3} 2.698095
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 21}/ln_r {c |}{col 28}{res}{space 2} .6477402{col 40}{space 2} .2637989{col 68}{space 4} .1307039{col 81}{space 3} 1.164777
{txt}{space 21}/ln_s {c |}{col 28}{res}{space 2}   3.4027{col 40}{space 2} .3577319{col 68}{space 4} 2.701558{col 81}{space 3} 4.103842
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                         r {c |}{col 28}{res}{space 2} 1.911217{col 40}{space 2}  .504177{col 68}{space 4}  1.13963{col 81}{space 3} 3.205207
{txt}                         s {c |}{col 28}{res}{space 2} 30.04511{col 40}{space 2} 10.74809{col 68}{space 4} 14.90293{col 81}{space 3} 60.57253
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{txt}LR test vs. pooled: {help j_chibar##|_new:chibar2(01) = }{res}0.00{col 56}{txt}Prob >= chibar2 = {res}1.000
{txt}
{com}. 
. collin total_civil_cases lag_civil_cases  ln_cum_maoist_victims peoples_govt_active ln_pop percent_votes1991_1999_GAP   ///
> litrate_1991_2001_GAP road_density_GAP year2002 hilli_region mountain_region region_east region_mid region_west region_farwest sno if year>1995 & year<2007 
{txt}(obs=825)

  Collinearity Diagnostics

                        SQRT                   R-
  Variable      VIF     VIF    Tolerance    Squared
----------------------------------------------------
{res}total_civil_cases     27.00    5.20    0.0370      0.9630
lag_civil_cases     26.95    5.19    0.0371      0.9629
ln_cum_maoist_victims      3.92    1.98    0.2552      0.7448
peoples_govt_active      2.75    1.66    0.3639      0.6361
    ln_pop      6.31    2.51    0.1586      0.8414
percent_votes1991_1999_GAP      1.35    1.16    0.7427      0.2573
litrate_1991_2001_GAP      2.75    1.66    0.3638      0.6362
road_density_GAP      4.17    2.04    0.2397      0.7603
  year2002      3.68    1.92    0.2717      0.7283
hilli_region      2.68    1.64    0.3737      0.6263
mountain_region      3.18    1.78    0.3141      0.6859
region_east     21.88    4.68    0.0457      0.9543
region_mid     10.05    3.17    0.0995      0.9005
region_west      3.67    1.91    0.2728      0.7272
region_farwest      2.98    1.73    0.3358      0.6642
       sno     25.38    5.04    0.0394      0.9606
{txt}----------------------------------------------------
  Mean VIF{res}      9.29

{txt}                           Cond
        Eigenval          Index
---------------------------------
{res}    1     6.6909          1.0000
    2     2.6793          1.5803
    3     1.5220          2.0967
    4     1.2715          2.2939
    5     1.1219          2.4421
    6     0.9463          2.6590
    7     0.7333          3.0206
    8     0.6603          3.1833
    9     0.5992          3.3415
    10     0.2881          4.8192
    11     0.1639          6.3888
    12     0.1422          6.8593
    13     0.0805          9.1151
    14     0.0781          9.2559
    15     0.0134         22.3822
    16     0.0087         27.6758
    17     0.0003        148.1546
{txt}---------------------------------
 Condition Number{res}       148.1546 
{txt} Eigenvalues & Cond Index computed from scaled raw sscp (w/ intercept)
 Det(correlation matrix){res}    0.0000
{txt}
{com}. 
. test

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[total_civil_cases]lag_civil_cases = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} [total_civil_cases]ln_cum_maoist_victims = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} [total_civil_cases]peoples_govt_active = 0{p_end}
{p 0 7}{space 1}{text:( 4)}{space 1} [total_civil_cases]ln_pop = 0{p_end}
{p 0 7}{space 1}{text:( 5)}{space 1} [total_civil_cases]percent_votes1991_1999_GAP = 0{p_end}
{p 0 7}{space 1}{text:( 6)}{space 1} [total_civil_cases]litrate_1991_2001_GAP = 0{p_end}
{p 0 7}{space 1}{text:( 7)}{space 1} [total_civil_cases]road_density_GAP = 0{p_end}
{p 0 7}{space 1}{text:( 8)}{space 1} [total_civil_cases]year2002 = 0{p_end}
{p 0 7}{space 1}{text:( 9)}{space 1} [total_civil_cases]hilli_region = 0{p_end}
{p 0 7}{space 1}{text:(10)}{space 1} [total_civil_cases]mountain_region = 0{p_end}
{p 0 7}{space 1}{text:(11)}{space 1} [total_civil_cases]region_east = 0{p_end}
{p 0 7}{space 1}{text:(12)}{space 1} [total_civil_cases]region_mid = 0{p_end}
{p 0 7}{space 1}{text:(13)}{space 1} [total_civil_cases]region_west = 0{p_end}
{p 0 7}{space 1}{text:(14)}{space 1} [total_civil_cases]region_farwest = 0{p_end}
{p 0 7}{space 1}{text:(15)}{space 1} [total_civil_cases]1b.sno = 0{p_end}
{p 0 7}{space 1}{text:(16)}{space 1} [total_civil_cases]2.sno = 0{p_end}
{p 0 7}{space 1}{text:(17)}{space 1} [total_civil_cases]3.sno = 0{p_end}
{p 0 7}{space 1}{text:(18)}{space 1} [total_civil_cases]4.sno = 0{p_end}
{p 0 7}{space 1}{text:(19)}{space 1} [total_civil_cases]5.sno = 0{p_end}
{p 0 7}{space 1}{text:(20)}{space 1} [total_civil_cases]6.sno = 0{p_end}
{p 0 7}{space 1}{text:(21)}{space 1} [total_civil_cases]7.sno = 0{p_end}
{p 0 7}{space 1}{text:(22)}{space 1} [total_civil_cases]8.sno = 0{p_end}
{p 0 7}{space 1}{text:(23)}{space 1} [total_civil_cases]9.sno = 0{p_end}
{p 0 7}{space 1}{text:(24)}{space 1} [total_civil_cases]10.sno = 0{p_end}
{p 0 7}{space 1}{text:(25)}{space 1} [total_civil_cases]11.sno = 0{p_end}
{p 0 7}{space 1}{text:(26)}{space 1} [total_civil_cases]12.sno = 0{p_end}
{p 0 7}{space 1}{text:(27)}{space 1} [total_civil_cases]13.sno = 0{p_end}
{p 0 7}{space 1}{text:(28)}{space 1} [total_civil_cases]14.sno = 0{p_end}
{p 0 7}{space 1}{text:(29)}{space 1} [total_civil_cases]15.sno = 0{p_end}
{p 0 7}{space 1}{text:(30)}{space 1} [total_civil_cases]16.sno = 0{p_end}
{p 0 7}{space 1}{text:(31)}{space 1} [total_civil_cases]17.sno = 0{p_end}
{p 0 7}{space 1}{text:(32)}{space 1} [total_civil_cases]18.sno = 0{p_end}
{p 0 7}{space 1}{text:(33)}{space 1} [total_civil_cases]19.sno = 0{p_end}
{p 0 7}{space 1}{text:(34)}{space 1} [total_civil_cases]20.sno = 0{p_end}
{p 0 7}{space 1}{text:(35)}{space 1} [total_civil_cases]21.sno = 0{p_end}
{p 0 7}{space 1}{text:(36)}{space 1} [total_civil_cases]22.sno = 0{p_end}
{p 0 7}{space 1}{text:(37)}{space 1} [total_civil_cases]23.sno = 0{p_end}
{p 0 7}{space 1}{text:(38)}{space 1} [total_civil_cases]24.sno = 0{p_end}
{p 0 7}{space 1}{text:(39)}{space 1} [total_civil_cases]25.sno = 0{p_end}
{p 0 7}{space 1}{text:(40)}{space 1} [total_civil_cases]26.sno = 0{p_end}
{p 0 7}{space 1}{text:(41)}{space 1} [total_civil_cases]27.sno = 0{p_end}
{p 0 7}{space 1}{text:(42)}{space 1} [total_civil_cases]28.sno = 0{p_end}
{p 0 7}{space 1}{text:(43)}{space 1} [total_civil_cases]29.sno = 0{p_end}
{p 0 7}{space 1}{text:(44)}{space 1} [total_civil_cases]30.sno = 0{p_end}
{p 0 7}{space 1}{text:(45)}{space 1} [total_civil_cases]31.sno = 0{p_end}
{p 0 7}{space 1}{text:(46)}{space 1} [total_civil_cases]32.sno = 0{p_end}
{p 0 7}{space 1}{text:(47)}{space 1} [total_civil_cases]33.sno = 0{p_end}
{p 0 7}{space 1}{text:(48)}{space 1} [total_civil_cases]34.sno = 0{p_end}
{p 0 7}{space 1}{text:(49)}{space 1} [total_civil_cases]35o.sno = 0{p_end}
{p 0 7}{space 1}{text:(50)}{space 1} [total_civil_cases]36.sno = 0{p_end}
{p 0 7}{space 1}{text:(51)}{space 1} [total_civil_cases]37.sno = 0{p_end}
{p 0 7}{space 1}{text:(52)}{space 1} [total_civil_cases]38.sno = 0{p_end}
{p 0 7}{space 1}{text:(53)}{space 1} [total_civil_cases]39.sno = 0{p_end}
{p 0 7}{space 1}{text:(54)}{space 1} [total_civil_cases]40.sno = 0{p_end}
{p 0 7}{space 1}{text:(55)}{space 1} [total_civil_cases]41.sno = 0{p_end}
{p 0 7}{space 1}{text:(56)}{space 1} [total_civil_cases]42.sno = 0{p_end}
{p 0 7}{space 1}{text:(57)}{space 1} [total_civil_cases]43.sno = 0{p_end}
{p 0 7}{space 1}{text:(58)}{space 1} [total_civil_cases]44.sno = 0{p_end}
{p 0 7}{space 1}{text:(59)}{space 1} [total_civil_cases]45.sno = 0{p_end}
{p 0 7}{space 1}{text:(60)}{space 1} [total_civil_cases]46.sno = 0{p_end}
{p 0 7}{space 1}{text:(61)}{space 1} [total_civil_cases]47.sno = 0{p_end}
{p 0 7}{space 1}{text:(62)}{space 1} [total_civil_cases]48.sno = 0{p_end}
{p 0 7}{space 1}{text:(63)}{space 1} [total_civil_cases]49.sno = 0{p_end}
{p 0 7}{space 1}{text:(64)}{space 1} [total_civil_cases]50.sno = 0{p_end}
{p 0 7}{space 1}{text:(65)}{space 1} [total_civil_cases]51.sno = 0{p_end}
{p 0 7}{space 1}{text:(66)}{space 1} [total_civil_cases]52.sno = 0{p_end}
{p 0 7}{space 1}{text:(67)}{space 1} [total_civil_cases]53.sno = 0{p_end}
{p 0 7}{space 1}{text:(68)}{space 1} [total_civil_cases]54.sno = 0{p_end}
{p 0 7}{space 1}{text:(69)}{space 1} [total_civil_cases]55.sno = 0{p_end}
{p 0 7}{space 1}{text:(70)}{space 1} [total_civil_cases]56.sno = 0{p_end}
{p 0 7}{space 1}{text:(71)}{space 1} [total_civil_cases]57.sno = 0{p_end}
{p 0 7}{space 1}{text:(72)}{space 1} [total_civil_cases]58.sno = 0{p_end}
{p 0 7}{space 1}{text:(73)}{space 1} [total_civil_cases]59.sno = 0{p_end}
{p 0 7}{space 1}{text:(74)}{space 1} [total_civil_cases]60.sno = 0{p_end}
{p 0 7}{space 1}{text:(75)}{space 1} [total_civil_cases]61.sno = 0{p_end}
{p 0 7}{space 1}{text:(76)}{space 1} [total_civil_cases]62.sno = 0{p_end}
{p 0 7}{space 1}{text:(77)}{space 1} [total_civil_cases]63.sno = 0{p_end}
{p 0 7}{space 1}{text:(78)}{space 1} [total_civil_cases]64o.sno = 0{p_end}
{p 0 7}{space 1}{text:(79)}{space 1} [total_civil_cases]65.sno = 0{p_end}
{p 0 7}{space 1}{text:(80)}{space 1} [total_civil_cases]66.sno = 0{p_end}
{p 0 7}{space 1}{text:(81)}{space 1} [total_civil_cases]67.sno = 0{p_end}
{p 0 7}{space 1}{text:(82)}{space 1} [total_civil_cases]68.sno = 0{p_end}
{p 0 7}{space 1}{text:(83)}{space 1} [total_civil_cases]69.sno = 0{p_end}
{p 0 7}{space 1}{text:(84)}{space 1} [total_civil_cases]70o.sno = 0{p_end}
{p 0 7}{space 1}{text:(85)}{space 1} [total_civil_cases]71o.sno = 0{p_end}
{p 0 7}{space 1}{text:(86)}{space 1} [total_civil_cases]72o.sno = 0{p_end}
{p 0 7}{space 1}{text:(87)}{space 1} [total_civil_cases]73o.sno = 0{p_end}
{p 0 7}{space 1}{text:(88)}{space 1} [total_civil_cases]74.sno = 0{p_end}
{p 0 7}{space 1}{text:(89)}{space 1} [total_civil_cases]75o.sno = 0{p_end}
       {txt}Constraint 15 dropped
       Constraint 49 dropped
       Constraint 78 dropped
       Constraint 84 dropped
       Constraint 85 dropped
       Constraint 86 dropped
       Constraint 87 dropped
       Constraint 89 dropped

           chi2( 81) ={res} 1922.34
         {txt}Prob > chi2 ={res}    0.0000

{txt}
{com}. test ln_cum_maoist_victims peoples_govt_active

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[total_civil_cases]ln_cum_maoist_victims = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} [total_civil_cases]peoples_govt_active = 0{p_end}

{txt}{col 12}chi2(  2) ={res}  120.57
{txt}{col 10}Prob > chi2 =  {res}  0.0000
{txt}
{com}. estat ic

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}       825{col 27}        .{col 38}-4760.172{col 49}    84{col 58} 9688.343{col 69} 10084.44
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. //////////////////////
> //prediction after the model CIVIL CASES
. xtnbreg total_civil_cases lag_civil_cases  ln_cum_maoist_victims peoples_govt_active ln_pop percent_votes1991_1999_GAP  ///
> litrate_1991_2001_GAP road_density_GAP year2002 hilli_region mountain_region region_east region_mid region_west region_farwest i.sno if year>1995 & year<2007 
{txt}note: 35.sno omitted because of collinearity
note: 64.sno omitted because of collinearity
note: 70.sno omitted because of collinearity
note: 71.sno omitted because of collinearity
note: 72.sno omitted because of collinearity
note: 73.sno omitted because of collinearity
note: 75.sno omitted because of collinearity

Fitting negative binomial (constant dispersion) model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1200250.7}  
Iteration 1:{space 3}log likelihood = {res:-432311.45}  
Iteration 2:{space 3}log likelihood = {res:-226096.88}  
Iteration 3:{space 3}log likelihood = {res:-19151.646}  
Iteration 4:{space 3}log likelihood = {res:-14937.532}  
Iteration 5:{space 3}log likelihood = {res:-14928.276}  
Iteration 6:{space 3}log likelihood = {res:-14928.276}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-220243.62}  
Iteration 1:{space 3}log likelihood = {res:-18470.292}  
Iteration 2:{space 3}log likelihood = {res:-7456.0091}  (backed up)
Iteration 3:{space 3}log likelihood = {res:-6120.0465}  
Iteration 4:{space 3}log likelihood = {res:-6050.9396}  
Iteration 5:{space 3}log likelihood = {res:-6046.5021}  
Iteration 6:{space 3}log likelihood = {res:-6046.4926}  
Iteration 7:{space 3}log likelihood = {res:-6046.4926}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-6046.4926}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-5875.6014}  (not concave)
Iteration 2:{space 3}log likelihood = {res:-5681.3201}  (not concave)
Iteration 3:{space 3}log likelihood = {res:-5290.1103}  (not concave)
Iteration 4:{space 3}log likelihood = {res:-5100.1856}  
Iteration 5:{space 3}log likelihood = {res:-4882.3756}  
Iteration 6:{space 3}log likelihood = {res:-4758.9246}  
Iteration 7:{space 3}log likelihood = {res: -4735.576}  
Iteration 8:{space 3}log likelihood = {res:-4735.0039}  
Iteration 9:{space 3}log likelihood = {res:-4735.0028}  
Iteration 10:{space 2}log likelihood = {res:-4735.0028}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-9535.8696}  (not concave)
Iteration 1:{space 3}log likelihood = {res: -5986.362}  (not concave)
Iteration 2:{space 3}log likelihood = {res:-5120.4185}  (not concave)
Iteration 3:{space 3}log likelihood = {res:-4935.0128}  (not concave)
Iteration 4:{space 3}log likelihood = {res:-4866.9291}  
Iteration 5:{space 3}log likelihood = {res:-4829.3565}  (backed up)
Iteration 6:{space 3}log likelihood = {res:-4774.5421}  (not concave)
Iteration 7:{space 3}log likelihood = {res:-4770.4193}  (not concave)
Iteration 8:{space 3}log likelihood = {res:-4769.4291}  (not concave)
Iteration 9:{space 3}log likelihood = {res:-4768.0681}  (not concave)
Iteration 10:{space 2}log likelihood = {res:-4767.3462}  (not concave)
Iteration 11:{space 2}log likelihood = {res:-4767.0593}  (not concave)
Iteration 12:{space 2}log likelihood = {res:-4766.9555}  (not concave)
Iteration 13:{space 2}log likelihood = {res: -4766.877}  (not concave)
Iteration 14:{space 2}log likelihood = {res:-4766.8102}  (not concave)
Iteration 15:{space 2}log likelihood = {res:-4766.7486}  (not concave)
Iteration 16:{space 2}log likelihood = {res:-4766.6783}  
Iteration 17:{space 2}log likelihood = {res:-4763.8438}  (backed up)
Iteration 18:{space 2}log likelihood = {res:-4760.2958}  
Iteration 19:{space 2}log likelihood = {res:-4760.1718}  
Iteration 20:{space 2}log likelihood = {res:-4760.1716}  
{res}
{txt}Random-effects negative binomial regression{col 49}Number of obs{col 67}={col 69}{res}       825
{txt}Group variable: {res}sno{col 49}{txt}Number of groups{col 67}={col 69}{res}        75

{txt}Random effects u_i ~ {res}Beta{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        11
{txt}{col 63}avg{col 67}={col 69}{res}      11.0
{txt}{col 63}max{col 67}={col 69}{res}        11

{txt}{col 49}Wald chi2({res}81{txt}){col 67}={col 70}{res}  1922.34
{txt}Log likelihood  = {res}-4760.1716{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         total_civil_cases{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}lag_civil_cases {c |}{col 28}{res}{space 2}  .000163{col 40}{space 2} .0000344{col 51}{space 1}    4.74{col 60}{space 3}0.000{col 68}{space 4} .0000956{col 81}{space 3} .0002303
{txt}{space 5}ln_cum_maoist_victims {c |}{col 28}{res}{space 2}-.0754101{col 40}{space 2} .0147828{col 51}{space 1}   -5.10{col 60}{space 3}0.000{col 68}{space 4}-.1043839{col 81}{space 3}-.0464362
{txt}{space 7}peoples_govt_active {c |}{col 28}{res}{space 2} -.270198{col 40}{space 2} .0367946{col 51}{space 1}   -7.34{col 60}{space 3}0.000{col 68}{space 4}-.3423141{col 81}{space 3} -.198082
{txt}{space 20}ln_pop {c |}{col 28}{res}{space 2} .3064888{col 40}{space 2} .1778958{col 51}{space 1}    1.72{col 60}{space 3}0.085{col 68}{space 4}-.0421806{col 81}{space 3} .6551581
{txt}percent_votes1991_1999_GAP {c |}{col 28}{res}{space 2} .0026028{col 40}{space 2} .0052281{col 51}{space 1}    0.50{col 60}{space 3}0.619{col 68}{space 4}-.0076441{col 81}{space 3} .0128498
{txt}{space 5}litrate_1991_2001_GAP {c |}{col 28}{res}{space 2} .0011215{col 40}{space 2} .0035498{col 51}{space 1}    0.32{col 60}{space 3}0.752{col 68}{space 4} -.005836{col 81}{space 3}  .008079
{txt}{space 10}road_density_GAP {c |}{col 28}{res}{space 2}-17.17878{col 40}{space 2} 13.07081{col 51}{space 1}   -1.31{col 60}{space 3}0.189{col 68}{space 4}-42.79709{col 81}{space 3}  8.43954
{txt}{space 18}year2002 {c |}{col 28}{res}{space 2} .0932148{col 40}{space 2} .0450062{col 51}{space 1}    2.07{col 60}{space 3}0.038{col 68}{space 4} .0050042{col 81}{space 3} .1814255
{txt}{space 14}hilli_region {c |}{col 28}{res}{space 2}-2.721852{col 40}{space 2} .5422013{col 51}{space 1}   -5.02{col 60}{space 3}0.000{col 68}{space 4}-3.784547{col 81}{space 3}-1.659157
{txt}{space 11}mountain_region {c |}{col 28}{res}{space 2}-3.971843{col 40}{space 2} 1.693521{col 51}{space 1}   -2.35{col 60}{space 3}0.019{col 68}{space 4}-7.291084{col 81}{space 3}-.6526024
{txt}{space 15}region_east {c |}{col 28}{res}{space 2} 5.213564{col 40}{space 2} 3.283943{col 51}{space 1}    1.59{col 60}{space 3}0.112{col 68}{space 4}-1.222846{col 81}{space 3} 11.64998
{txt}{space 16}region_mid {c |}{col 28}{res}{space 2} -2.28866{col 40}{space 2} 1.071516{col 51}{space 1}   -2.14{col 60}{space 3}0.033{col 68}{space 4}-4.388792{col 81}{space 3}-.1885278
{txt}{space 15}region_west {c |}{col 28}{res}{space 2}-.4420625{col 40}{space 2} .6106427{col 51}{space 1}   -0.72{col 60}{space 3}0.469{col 68}{space 4}  -1.6389{col 81}{space 3} .7547752
{txt}{space 12}region_farwest {c |}{col 28}{res}{space 2} 1.758504{col 40}{space 2} .7023129{col 51}{space 1}    2.50{col 60}{space 3}0.012{col 68}{space 4} .3819962{col 81}{space 3} 3.135012
{txt}{space 26} {c |}
{space 23}sno {c |}
{space 24}2  {c |}{col 28}{res}{space 2}-.8143417{col 40}{space 2} 1.973257{col 51}{space 1}   -0.41{col 60}{space 3}0.680{col 68}{space 4}-4.681854{col 81}{space 3}  3.05317
{txt}{space 24}3  {c |}{col 28}{res}{space 2}-2.146838{col 40}{space 2} 2.939898{col 51}{space 1}   -0.73{col 60}{space 3}0.465{col 68}{space 4}-7.908932{col 81}{space 3} 3.615255
{txt}{space 24}4  {c |}{col 28}{res}{space 2}-2.915414{col 40}{space 2} 3.166441{col 51}{space 1}   -0.92{col 60}{space 3}0.357{col 68}{space 4}-9.121525{col 81}{space 3} 3.290696
{txt}{space 24}5  {c |}{col 28}{res}{space 2}-.1187066{col 40}{space 2} .5900082{col 51}{space 1}   -0.20{col 60}{space 3}0.841{col 68}{space 4}-1.275101{col 81}{space 3} 1.037688
{txt}{space 24}6  {c |}{col 28}{res}{space 2}-.3820452{col 40}{space 2} .5769374{col 51}{space 1}   -0.66{col 60}{space 3}0.508{col 68}{space 4}-1.512822{col 81}{space 3} .7487314
{txt}{space 24}7  {c |}{col 28}{res}{space 2}-.8775758{col 40}{space 2} 1.966855{col 51}{space 1}   -0.45{col 60}{space 3}0.655{col 68}{space 4}-4.732541{col 81}{space 3}  2.97739
{txt}{space 24}8  {c |}{col 28}{res}{space 2}-3.662086{col 40}{space 2} 3.836351{col 51}{space 1}   -0.95{col 60}{space 3}0.340{col 68}{space 4}-11.18119{col 81}{space 3} 3.857024
{txt}{space 24}9  {c |}{col 28}{res}{space 2}-5.214162{col 40}{space 2} 4.721311{col 51}{space 1}   -1.10{col 60}{space 3}0.269{col 68}{space 4}-14.46776{col 81}{space 3} 4.039439
{txt}{space 23}10  {c |}{col 28}{res}{space 2}-4.553373{col 40}{space 2} 3.182231{col 51}{space 1}   -1.43{col 60}{space 3}0.152{col 68}{space 4}-10.79043{col 81}{space 3} 1.683685
{txt}{space 23}11  {c |}{col 28}{res}{space 2}-3.335652{col 40}{space 2} 1.984636{col 51}{space 1}   -1.68{col 60}{space 3}0.093{col 68}{space 4}-7.225467{col 81}{space 3}  .554164
{txt}{space 23}12  {c |}{col 28}{res}{space 2}-1.968615{col 40}{space 2} 1.679946{col 51}{space 1}   -1.17{col 60}{space 3}0.241{col 68}{space 4}-5.261248{col 81}{space 3} 1.324018
{txt}{space 23}13  {c |}{col 28}{res}{space 2}-1.607637{col 40}{space 2} 3.466469{col 51}{space 1}   -0.46{col 60}{space 3}0.643{col 68}{space 4}-8.401791{col 81}{space 3} 5.186516
{txt}{space 23}14  {c |}{col 28}{res}{space 2} -5.72952{col 40}{space 2} 4.758992{col 51}{space 1}   -1.20{col 60}{space 3}0.229{col 68}{space 4}-15.05697{col 81}{space 3} 3.597932
{txt}{space 23}15  {c |}{col 28}{res}{space 2}-3.666839{col 40}{space 2} 4.241019{col 51}{space 1}   -0.86{col 60}{space 3}0.387{col 68}{space 4}-11.97908{col 81}{space 3} 4.645406
{txt}{space 23}16  {c |}{col 28}{res}{space 2} -4.91466{col 40}{space 2} 3.303809{col 51}{space 1}   -1.49{col 60}{space 3}0.137{col 68}{space 4}-11.39001{col 81}{space 3} 1.560687
{txt}{space 23}17  {c |}{col 28}{res}{space 2}  10.9657{col 40}{space 2} 6.601805{col 51}{space 1}    1.66{col 60}{space 3}0.097{col 68}{space 4}-1.973601{col 81}{space 3}   23.905
{txt}{space 23}18  {c |}{col 28}{res}{space 2} 8.455868{col 40}{space 2}   5.1444{col 51}{space 1}    1.64{col 60}{space 3}0.100{col 68}{space 4}-1.626972{col 81}{space 3} 18.53871
{txt}{space 23}19  {c |}{col 28}{res}{space 2} 7.839472{col 40}{space 2} 4.348423{col 51}{space 1}    1.80{col 60}{space 3}0.071{col 68}{space 4}-.6832804{col 81}{space 3} 16.36222
{txt}{space 23}20  {c |}{col 28}{res}{space 2}  4.04951{col 40}{space 2} .9237887{col 51}{space 1}    4.38{col 60}{space 3}0.000{col 68}{space 4} 2.238918{col 81}{space 3} 5.860103
{txt}{space 23}21  {c |}{col 28}{res}{space 2} 3.562587{col 40}{space 2} .8620895{col 51}{space 1}    4.13{col 60}{space 3}0.000{col 68}{space 4} 1.872922{col 81}{space 3} 5.252251
{txt}{space 23}22  {c |}{col 28}{res}{space 2} 4.662254{col 40}{space 2} 2.239969{col 51}{space 1}    2.08{col 60}{space 3}0.037{col 68}{space 4} .2719962{col 81}{space 3} 9.052513
{txt}{space 23}23  {c |}{col 28}{res}{space 2} 4.170662{col 40}{space 2} 1.783707{col 51}{space 1}    2.34{col 60}{space 3}0.019{col 68}{space 4} .6746619{col 81}{space 3} 7.666663
{txt}{space 23}24  {c |}{col 28}{res}{space 2} 5.255792{col 40}{space 2}  2.61405{col 51}{space 1}    2.01{col 60}{space 3}0.044{col 68}{space 4} .1323482{col 81}{space 3} 10.37924
{txt}{space 23}25  {c |}{col 28}{res}{space 2}  4.84593{col 40}{space 2} 2.356918{col 51}{space 1}    2.06{col 60}{space 3}0.040{col 68}{space 4} .2264552{col 81}{space 3} 9.465404
{txt}{space 23}26  {c |}{col 28}{res}{space 2} 6.822149{col 40}{space 2} 3.771244{col 51}{space 1}    1.81{col 60}{space 3}0.070{col 68}{space 4}-.5693539{col 81}{space 3} 14.21365
{txt}{space 23}27  {c |}{col 28}{res}{space 2} 5.974827{col 40}{space 2} 1.293161{col 51}{space 1}    4.62{col 60}{space 3}0.000{col 68}{space 4} 3.440278{col 81}{space 3} 8.509377
{txt}{space 23}28  {c |}{col 28}{res}{space 2} 19.26143{col 40}{space 2} 10.59788{col 51}{space 1}    1.82{col 60}{space 3}0.069{col 68}{space 4}-1.510039{col 81}{space 3} 40.03291
{txt}{space 23}29  {c |}{col 28}{res}{space 2} 29.47175{col 40}{space 2} 19.04685{col 51}{space 1}    1.55{col 60}{space 3}0.122{col 68}{space 4} -7.85939{col 81}{space 3}  66.8029
{txt}{space 23}30  {c |}{col 28}{res}{space 2} 39.22555{col 40}{space 2} 25.96328{col 51}{space 1}    1.51{col 60}{space 3}0.131{col 68}{space 4}-11.66154{col 81}{space 3} 90.11264
{txt}{space 23}31  {c |}{col 28}{res}{space 2} 9.617557{col 40}{space 2} 3.146186{col 51}{space 1}    3.06{col 60}{space 3}0.002{col 68}{space 4} 3.451145{col 81}{space 3} 15.78397
{txt}{space 23}32  {c |}{col 28}{res}{space 2} 5.468544{col 40}{space 2} 1.239762{col 51}{space 1}    4.41{col 60}{space 3}0.000{col 68}{space 4} 3.038655{col 81}{space 3} 7.898432
{txt}{space 23}33  {c |}{col 28}{res}{space 2} 1.925556{col 40}{space 2} .6671126{col 51}{space 1}    2.89{col 60}{space 3}0.004{col 68}{space 4}  .618039{col 81}{space 3} 3.233072
{txt}{space 23}34  {c |}{col 28}{res}{space 2} 7.145146{col 40}{space 2} 2.502012{col 51}{space 1}    2.86{col 60}{space 3}0.004{col 68}{space 4} 2.241292{col 81}{space 3}   12.049
{txt}{space 23}35  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}36  {c |}{col 28}{res}{space 2} 6.804947{col 40}{space 2} 2.023336{col 51}{space 1}    3.36{col 60}{space 3}0.001{col 68}{space 4} 2.839281{col 81}{space 3} 10.77061
{txt}{space 23}37  {c |}{col 28}{res}{space 2} 1.092663{col 40}{space 2} 1.421737{col 51}{space 1}    0.77{col 60}{space 3}0.442{col 68}{space 4} -1.69389{col 81}{space 3} 3.879216
{txt}{space 23}38  {c |}{col 28}{res}{space 2} 2.580202{col 40}{space 2} 1.115642{col 51}{space 1}    2.31{col 60}{space 3}0.021{col 68}{space 4} .3935828{col 81}{space 3}  4.76682
{txt}{space 23}39  {c |}{col 28}{res}{space 2} 3.312682{col 40}{space 2} .9975755{col 51}{space 1}    3.32{col 60}{space 3}0.001{col 68}{space 4}  1.35747{col 81}{space 3} 5.267894
{txt}{space 23}40  {c |}{col 28}{res}{space 2} 5.880549{col 40}{space 2} 1.403127{col 51}{space 1}    4.19{col 60}{space 3}0.000{col 68}{space 4} 3.130471{col 81}{space 3} 8.630627
{txt}{space 23}41  {c |}{col 28}{res}{space 2} 1.190148{col 40}{space 2} .9870319{col 51}{space 1}    1.21{col 60}{space 3}0.228{col 68}{space 4}-.7443988{col 81}{space 3} 3.124695
{txt}{space 23}42  {c |}{col 28}{res}{space 2} 2.966415{col 40}{space 2} 1.488037{col 51}{space 1}    1.99{col 60}{space 3}0.046{col 68}{space 4} .0499154{col 81}{space 3} 5.882915
{txt}{space 23}43  {c |}{col 28}{res}{space 2} 5.211999{col 40}{space 2} 1.520821{col 51}{space 1}    3.43{col 60}{space 3}0.001{col 68}{space 4} 2.231245{col 81}{space 3} 8.192754
{txt}{space 23}44  {c |}{col 28}{res}{space 2} 2.048565{col 40}{space 2} 1.215304{col 51}{space 1}    1.69{col 60}{space 3}0.092{col 68}{space 4}-.3333874{col 81}{space 3} 4.430517
{txt}{space 23}45  {c |}{col 28}{res}{space 2} 4.942773{col 40}{space 2} 1.137801{col 51}{space 1}    4.34{col 60}{space 3}0.000{col 68}{space 4} 2.712723{col 81}{space 3} 7.172823
{txt}{space 23}46  {c |}{col 28}{res}{space 2} 3.812118{col 40}{space 2} .9832555{col 51}{space 1}    3.88{col 60}{space 3}0.000{col 68}{space 4} 1.884972{col 81}{space 3} 5.739263
{txt}{space 23}47  {c |}{col 28}{res}{space 2} 1.785942{col 40}{space 2} 1.667951{col 51}{space 1}    1.07{col 60}{space 3}0.284{col 68}{space 4}-1.483181{col 81}{space 3} 5.055065
{txt}{space 23}48  {c |}{col 28}{res}{space 2} 3.483182{col 40}{space 2} .8568059{col 51}{space 1}    4.07{col 60}{space 3}0.000{col 68}{space 4} 1.803873{col 81}{space 3} 5.162491
{txt}{space 23}49  {c |}{col 28}{res}{space 2} 1.083146{col 40}{space 2} 1.672798{col 51}{space 1}    0.65{col 60}{space 3}0.517{col 68}{space 4}-2.195477{col 81}{space 3} 4.361769
{txt}{space 23}50  {c |}{col 28}{res}{space 2} 1.213333{col 40}{space 2} 1.079997{col 51}{space 1}    1.12{col 60}{space 3}0.261{col 68}{space 4}-.9034232{col 81}{space 3} 3.330089
{txt}{space 23}51  {c |}{col 28}{res}{space 2} 3.064879{col 40}{space 2} .8573124{col 51}{space 1}    3.57{col 60}{space 3}0.000{col 68}{space 4} 1.384577{col 81}{space 3}  4.74518
{txt}{space 23}52  {c |}{col 28}{res}{space 2}-.2448375{col 40}{space 2} 1.397654{col 51}{space 1}   -0.18{col 60}{space 3}0.861{col 68}{space 4}-2.984188{col 81}{space 3} 2.494514
{txt}{space 23}53  {c |}{col 28}{res}{space 2} 2.439264{col 40}{space 2} .8367197{col 51}{space 1}    2.92{col 60}{space 3}0.004{col 68}{space 4} .7993239{col 81}{space 3} 4.079205
{txt}{space 23}54  {c |}{col 28}{res}{space 2}-.5418917{col 40}{space 2} 1.550407{col 51}{space 1}   -0.35{col 60}{space 3}0.727{col 68}{space 4}-3.580633{col 81}{space 3}  2.49685
{txt}{space 23}55  {c |}{col 28}{res}{space 2} 1.277984{col 40}{space 2} .9479632{col 51}{space 1}    1.35{col 60}{space 3}0.178{col 68}{space 4}-.5799895{col 81}{space 3} 3.135958
{txt}{space 23}56  {c |}{col 28}{res}{space 2} .5572022{col 40}{space 2} .8783036{col 51}{space 1}    0.63{col 60}{space 3}0.526{col 68}{space 4}-1.164241{col 81}{space 3} 2.278646
{txt}{space 23}57  {c |}{col 28}{res}{space 2} 3.516186{col 40}{space 2} .8481205{col 51}{space 1}    4.15{col 60}{space 3}0.000{col 68}{space 4}   1.8539{col 81}{space 3} 5.178472
{txt}{space 23}58  {c |}{col 28}{res}{space 2}-1.227845{col 40}{space 2} 1.564636{col 51}{space 1}   -0.78{col 60}{space 3}0.433{col 68}{space 4}-4.294476{col 81}{space 3} 1.838786
{txt}{space 23}59  {c |}{col 28}{res}{space 2} 1.353412{col 40}{space 2} .7673838{col 51}{space 1}    1.76{col 60}{space 3}0.078{col 68}{space 4}-.1506323{col 81}{space 3} 2.857457
{txt}{space 23}60  {c |}{col 28}{res}{space 2} .4462859{col 40}{space 2} .5458696{col 51}{space 1}    0.82{col 60}{space 3}0.414{col 68}{space 4}-.6235988{col 81}{space 3} 1.516171
{txt}{space 23}61  {c |}{col 28}{res}{space 2} .2189106{col 40}{space 2}  .529955{col 51}{space 1}    0.41{col 60}{space 3}0.680{col 68}{space 4}-.8197821{col 81}{space 3} 1.257603
{txt}{space 23}62  {c |}{col 28}{res}{space 2}-1.310951{col 40}{space 2} 1.678138{col 51}{space 1}   -0.78{col 60}{space 3}0.435{col 68}{space 4}-4.600041{col 81}{space 3} 1.978139
{txt}{space 23}63  {c |}{col 28}{res}{space 2} .8856519{col 40}{space 2} .5354977{col 51}{space 1}    1.65{col 60}{space 3}0.098{col 68}{space 4}-.1639043{col 81}{space 3} 1.935208
{txt}{space 23}64  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}65  {c |}{col 28}{res}{space 2}-1.537476{col 40}{space 2} .6423481{col 51}{space 1}   -2.39{col 60}{space 3}0.017{col 68}{space 4}-2.796455{col 81}{space 3}-.2784971
{txt}{space 23}66  {c |}{col 28}{res}{space 2}-2.613931{col 40}{space 2} 1.207887{col 51}{space 1}   -2.16{col 60}{space 3}0.030{col 68}{space 4}-4.981345{col 81}{space 3} -.246516
{txt}{space 23}67  {c |}{col 28}{res}{space 2}-.7416676{col 40}{space 2}  .801329{col 51}{space 1}   -0.93{col 60}{space 3}0.355{col 68}{space 4}-2.312244{col 81}{space 3} .8289084
{txt}{space 23}68  {c |}{col 28}{res}{space 2}-2.068394{col 40}{space 2} .6550893{col 51}{space 1}   -3.16{col 60}{space 3}0.002{col 68}{space 4}-3.352346{col 81}{space 3}-.7844429
{txt}{space 23}69  {c |}{col 28}{res}{space 2} -.400316{col 40}{space 2} .6256477{col 51}{space 1}   -0.64{col 60}{space 3}0.522{col 68}{space 4}-1.626563{col 81}{space 3} .8259309
{txt}{space 23}70  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}71  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}72  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}73  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}74  {c |}{col 28}{res}{space 2}-.8453712{col 40}{space 2} .7338629{col 51}{space 1}   -1.15{col 60}{space 3}0.249{col 68}{space 4}-2.283716{col 81}{space 3} .5929737
{txt}{space 23}75  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2}-2.237609{col 40}{space 2} 2.518262{col 51}{space 1}   -0.89{col 60}{space 3}0.374{col 68}{space 4}-7.173313{col 81}{space 3} 2.698095
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 21}/ln_r {c |}{col 28}{res}{space 2} .6477402{col 40}{space 2} .2637989{col 68}{space 4} .1307039{col 81}{space 3} 1.164777
{txt}{space 21}/ln_s {c |}{col 28}{res}{space 2}   3.4027{col 40}{space 2} .3577319{col 68}{space 4} 2.701558{col 81}{space 3} 4.103842
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                         r {c |}{col 28}{res}{space 2} 1.911217{col 40}{space 2}  .504177{col 68}{space 4}  1.13963{col 81}{space 3} 3.205207
{txt}                         s {c |}{col 28}{res}{space 2} 30.04511{col 40}{space 2} 10.74809{col 68}{space 4} 14.90293{col 81}{space 3} 60.57253
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{txt}LR test vs. pooled: {help j_chibar##|_new:chibar2(01) = }{res}0.00{col 56}{txt}Prob >= chibar2 = {res}1.000
{txt}
{com}. 
. margins, atmeans at(ln_cum_maoist_victims =(0(.5)5.5))
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       825
{txt}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:lag_civil_~s}{space 4}{txt:=} {space 3}689.4448 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_mao~s}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 3}.3939394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:lag_civil_~s}{space 4}{txt:=} {space 3}689.4448 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_mao~s}{space 4}{txt:=} {space 9}.5}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 3}.3939394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:lag_civil_~s}{space 4}{txt:=} {space 3}689.4448 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_mao~s}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 3}.3939394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:lag_civil_~s}{space 4}{txt:=} {space 3}689.4448 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_mao~s}{space 4}{txt:=} {space 8}1.5}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 3}.3939394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:lag_civil_~s}{space 4}{txt:=} {space 3}689.4448 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_mao~s}{space 4}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 3}.3939394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:lag_civil_~s}{space 4}{txt:=} {space 3}689.4448 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_mao~s}{space 4}{txt:=} {space 8}2.5}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 3}.3939394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:lag_civil_~s}{space 4}{txt:=} {space 3}689.4448 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_mao~s}{space 4}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 3}.3939394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:lag_civil_~s}{space 4}{txt:=} {space 3}689.4448 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_mao~s}{space 4}{txt:=} {space 8}3.5}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 3}.3939394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:lag_civil_~s}{space 4}{txt:=} {space 3}689.4448 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_mao~s}{space 4}{txt:=} {space 10}4}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 3}.3939394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:lag_civil_~s}{space 4}{txt:=} {space 3}689.4448 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_mao~s}{space 4}{txt:=} {space 8}4.5}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 3}.3939394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:lag_civil_~s}{space 4}{txt:=} {space 3}689.4448 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_mao~s}{space 4}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 3}.3939394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:lag_civil_~s}{space 4}{txt:=} {space 3}689.4448 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_mao~s}{space 4}{txt:=} {space 8}5.5}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 3}.3939394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}  2.60148{col 26}{space 2} .0666744{col 37}{space 1}   39.02{col 46}{space 3}0.000{col 54}{space 4} 2.470801{col 67}{space 3} 2.732159
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 2.563775{col 26}{space 2} .0639472{col 37}{space 1}   40.09{col 46}{space 3}0.000{col 54}{space 4} 2.438441{col 67}{space 3} 2.689109
{txt}{space 10}3  {c |}{col 14}{res}{space 2}  2.52607{col 26}{space 2} .0619861{col 37}{space 1}   40.75{col 46}{space 3}0.000{col 54}{space 4} 2.404579{col 67}{space 3}  2.64756
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 2.488365{col 26}{space 2} .0608652{col 37}{space 1}   40.88{col 46}{space 3}0.000{col 54}{space 4} 2.369071{col 67}{space 3} 2.607659
{txt}{space 10}5  {c |}{col 14}{res}{space 2}  2.45066{col 26}{space 2} .0606312{col 37}{space 1}   40.42{col 46}{space 3}0.000{col 54}{space 4} 2.331825{col 67}{space 3} 2.569495
{txt}{space 10}6  {c |}{col 14}{res}{space 2} 2.412955{col 26}{space 2} .0612942{col 37}{space 1}   39.37{col 46}{space 3}0.000{col 54}{space 4}  2.29282{col 67}{space 3} 2.533089
{txt}{space 10}7  {c |}{col 14}{res}{space 2}  2.37525{col 26}{space 2} .0628258{col 37}{space 1}   37.81{col 46}{space 3}0.000{col 54}{space 4} 2.252114{col 67}{space 3} 2.498386
{txt}{space 10}8  {c |}{col 14}{res}{space 2} 2.337545{col 26}{space 2} .0651648{col 37}{space 1}   35.87{col 46}{space 3}0.000{col 54}{space 4} 2.209824{col 67}{space 3} 2.465265
{txt}{space 10}9  {c |}{col 14}{res}{space 2}  2.29984{col 26}{space 2} .0682281{col 37}{space 1}   33.71{col 46}{space 3}0.000{col 54}{space 4} 2.166115{col 67}{space 3} 2.433564
{txt}{space 9}10  {c |}{col 14}{res}{space 2} 2.262135{col 26}{space 2} .0719234{col 37}{space 1}   31.45{col 46}{space 3}0.000{col 54}{space 4} 2.121167{col 67}{space 3} 2.403102
{txt}{space 9}11  {c |}{col 14}{res}{space 2}  2.22443{col 26}{space 2} .0761587{col 37}{space 1}   29.21{col 46}{space 3}0.000{col 54}{space 4} 2.075162{col 67}{space 3} 2.373698
{txt}{space 9}12  {c |}{col 14}{res}{space 2} 2.186725{col 26}{space 2} .0808491{col 37}{space 1}   27.05{col 46}{space 3}0.000{col 54}{space 4} 2.028263{col 67}{space 3} 2.345186
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, addplot(hist ln_cum_maoist_victims)
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: ln_cum_maoist_victims{p_end}
{res}{txt}
{com}. 
. ////////////////////////////////////CRIMINAL CASES
> 
. 
. //Criminal cases
. xtnbreg total_criminal_cases lag_criminal_cases ln_cum_state_victims peoples_govt_active ln_pop percent_votes1991_1999_GAP      ///
> litrate_1991_2001_GAP road_density_GAP year2002 hilli_region mountain_region region_east region_mid region_west region_farwest i.sno if year>1995 & year<2007 
{txt}note: 35.sno omitted because of collinearity
note: 64.sno omitted because of collinearity
note: 70.sno omitted because of collinearity
note: 71.sno omitted because of collinearity
note: 72.sno omitted because of collinearity
note: 73.sno omitted because of collinearity
note: 75.sno omitted because of collinearity

Fitting negative binomial (constant dispersion) model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1185516.9}  
Iteration 1:{space 3}log likelihood = {res:-340410.31}  
Iteration 2:{space 3}log likelihood = {res:-170630.19}  
Iteration 3:{space 3}log likelihood = {res:-43525.271}  
Iteration 4:{space 3}log likelihood = {res:-13626.611}  
Iteration 5:{space 3}log likelihood = {res:-12848.626}  
Iteration 6:{space 3}log likelihood = {res:-12844.066}  
Iteration 7:{space 3}log likelihood = {res:-12844.066}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-93080.224}  
Iteration 1:{space 3}log likelihood = {res:-12995.468}  
Iteration 2:{space 3}log likelihood = {res:-6279.1285}  (backed up)
Iteration 3:{space 3}log likelihood = {res: -5681.269}  
Iteration 4:{space 3}log likelihood = {res:-5675.3875}  
Iteration 5:{space 3}log likelihood = {res:-5675.3663}  
Iteration 6:{space 3}log likelihood = {res:-5675.3663}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-5675.3663}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-5542.9213}  (not concave)
Iteration 2:{space 3}log likelihood = {res:-5256.3635}  (not concave)
Iteration 3:{space 3}log likelihood = {res:-4969.0492}  
Iteration 4:{space 3}log likelihood = {res:-4758.6515}  
Iteration 5:{space 3}log likelihood = {res:-4674.6689}  
Iteration 6:{space 3}log likelihood = {res:-4638.2557}  
Iteration 7:{space 3}log likelihood = {res:-4637.9846}  
Iteration 8:{space 3}log likelihood = {res:-4637.9844}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-8541.6757}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-5907.4072}  (not concave)
Iteration 2:{space 3}log likelihood = {res:-4732.7221}  (not concave)
Iteration 3:{space 3}log likelihood = {res:-4651.8314}  
Iteration 4:{space 3}log likelihood = {res:-4583.6878}  
Iteration 5:{space 3}log likelihood = {res:-4558.1037}  
Iteration 6:{space 3}log likelihood = {res:-4545.8731}  
Iteration 7:{space 3}log likelihood = {res:-4544.4148}  
Iteration 8:{space 3}log likelihood = {res:-4544.4072}  
Iteration 9:{space 3}log likelihood = {res:-4544.4072}  
{res}
{txt}Random-effects negative binomial regression{col 49}Number of obs{col 67}={col 69}{res}       825
{txt}Group variable: {res}sno{col 49}{txt}Number of groups{col 67}={col 69}{res}        75

{txt}Random effects u_i ~ {res}Beta{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        11
{txt}{col 63}avg{col 67}={col 69}{res}      11.0
{txt}{col 63}max{col 67}={col 69}{res}        11

{txt}{col 49}Wald chi2({res}81{txt}){col 67}={col 70}{res}  2513.41
{txt}Log likelihood  = {res}-4544.4072{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      total_criminal_cases{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}lag_criminal_cases {c |}{col 28}{res}{space 2} .0002458{col 40}{space 2} .0000625{col 51}{space 1}    3.93{col 60}{space 3}0.000{col 68}{space 4} .0001233{col 81}{space 3} .0003683
{txt}{space 6}ln_cum_state_victims {c |}{col 28}{res}{space 2}-.1077523{col 40}{space 2} .0118072{col 51}{space 1}   -9.13{col 60}{space 3}0.000{col 68}{space 4}-.1308939{col 81}{space 3}-.0846106
{txt}{space 7}peoples_govt_active {c |}{col 28}{res}{space 2}-.1796209{col 40}{space 2} .0329716{col 51}{space 1}   -5.45{col 60}{space 3}0.000{col 68}{space 4} -.244244{col 81}{space 3}-.1149978
{txt}{space 20}ln_pop {c |}{col 28}{res}{space 2}-.1766716{col 40}{space 2} .2020303{col 51}{space 1}   -0.87{col 60}{space 3}0.382{col 68}{space 4}-.5726437{col 81}{space 3} .2193004
{txt}percent_votes1991_1999_GAP {c |}{col 28}{res}{space 2} .0155401{col 40}{space 2} .0042685{col 51}{space 1}    3.64{col 60}{space 3}0.000{col 68}{space 4}  .007174{col 81}{space 3} .0239061
{txt}{space 5}litrate_1991_2001_GAP {c |}{col 28}{res}{space 2} .0146108{col 40}{space 2} .0039013{col 51}{space 1}    3.75{col 60}{space 3}0.000{col 68}{space 4} .0069643{col 81}{space 3} .0222572
{txt}{space 10}road_density_GAP {c |}{col 28}{res}{space 2} 3.552121{col 40}{space 2} 14.42288{col 51}{space 1}    0.25{col 60}{space 3}0.805{col 68}{space 4} -24.7162{col 81}{space 3} 31.82044
{txt}{space 18}year2002 {c |}{col 28}{res}{space 2}  .024949{col 40}{space 2} .0373702{col 51}{space 1}    0.67{col 60}{space 3}0.504{col 68}{space 4}-.0482952{col 81}{space 3} .0981931
{txt}{space 14}hilli_region {c |}{col 28}{res}{space 2}  -1.6679{col 40}{space 2} .5821407{col 51}{space 1}   -2.87{col 60}{space 3}0.004{col 68}{space 4}-2.808874{col 81}{space 3}-.5269248
{txt}{space 11}mountain_region {c |}{col 28}{res}{space 2}-1.293891{col 40}{space 2} 1.865153{col 51}{space 1}   -0.69{col 60}{space 3}0.488{col 68}{space 4}-4.949524{col 81}{space 3} 2.361741
{txt}{space 15}region_east {c |}{col 28}{res}{space 2}-2.331713{col 40}{space 2} 3.653834{col 51}{space 1}   -0.64{col 60}{space 3}0.523{col 68}{space 4}-9.493096{col 81}{space 3} 4.829669
{txt}{space 16}region_mid {c |}{col 28}{res}{space 2}-1.408714{col 40}{space 2} 1.243487{col 51}{space 1}   -1.13{col 60}{space 3}0.257{col 68}{space 4}-3.845903{col 81}{space 3} 1.028476
{txt}{space 15}region_west {c |}{col 28}{res}{space 2}-1.831536{col 40}{space 2} .7101689{col 51}{space 1}   -2.58{col 60}{space 3}0.010{col 68}{space 4}-3.223441{col 81}{space 3}-.4396301
{txt}{space 12}region_farwest {c |}{col 28}{res}{space 2} .8998854{col 40}{space 2} .7319996{col 51}{space 1}    1.23{col 60}{space 3}0.219{col 68}{space 4}-.5348074{col 81}{space 3} 2.334578
{txt}{space 26} {c |}
{space 23}sno {c |}
{space 24}2  {c |}{col 28}{res}{space 2} 2.843576{col 40}{space 2} 2.178257{col 51}{space 1}    1.31{col 60}{space 3}0.192{col 68}{space 4}-1.425729{col 81}{space 3} 7.112881
{txt}{space 24}3  {c |}{col 28}{res}{space 2} 3.634444{col 40}{space 2} 3.272501{col 51}{space 1}    1.11{col 60}{space 3}0.267{col 68}{space 4}-2.779541{col 81}{space 3} 10.04843
{txt}{space 24}4  {c |}{col 28}{res}{space 2} 3.661238{col 40}{space 2} 3.525036{col 51}{space 1}    1.04{col 60}{space 3}0.299{col 68}{space 4}-3.247706{col 81}{space 3} 10.57018
{txt}{space 24}5  {c |}{col 28}{res}{space 2}-.2139185{col 40}{space 2} .5779407{col 51}{space 1}   -0.37{col 60}{space 3}0.711{col 68}{space 4}-1.346662{col 81}{space 3} .9188245
{txt}{space 24}6  {c |}{col 28}{res}{space 2} 2.431214{col 40}{space 2} .5998993{col 51}{space 1}    4.05{col 60}{space 3}0.000{col 68}{space 4} 1.255433{col 81}{space 3} 3.606995
{txt}{space 24}7  {c |}{col 28}{res}{space 2} 3.409803{col 40}{space 2} 2.205679{col 51}{space 1}    1.55{col 60}{space 3}0.122{col 68}{space 4}-.9132488{col 81}{space 3} 7.732856
{txt}{space 24}8  {c |}{col 28}{res}{space 2} 2.851726{col 40}{space 2} 4.276738{col 51}{space 1}    0.67{col 60}{space 3}0.505{col 68}{space 4}-5.530526{col 81}{space 3} 11.23398
{txt}{space 24}9  {c |}{col 28}{res}{space 2}  3.48051{col 40}{space 2} 5.238313{col 51}{space 1}    0.66{col 60}{space 3}0.506{col 68}{space 4}-6.786395{col 81}{space 3} 13.74742
{txt}{space 23}10  {c |}{col 28}{res}{space 2} 3.843925{col 40}{space 2} 3.520227{col 51}{space 1}    1.09{col 60}{space 3}0.275{col 68}{space 4}-3.055592{col 81}{space 3} 10.74344
{txt}{space 23}11  {c |}{col 28}{res}{space 2} 3.803308{col 40}{space 2} 2.177631{col 51}{space 1}    1.75{col 60}{space 3}0.081{col 68}{space 4}-.4647702{col 81}{space 3} 8.071386
{txt}{space 23}12  {c |}{col 28}{res}{space 2} 3.669475{col 40}{space 2} 1.821033{col 51}{space 1}    2.02{col 60}{space 3}0.044{col 68}{space 4} .1003154{col 81}{space 3} 7.238635
{txt}{space 23}13  {c |}{col 28}{res}{space 2} 3.064606{col 40}{space 2} 3.869356{col 51}{space 1}    0.79{col 60}{space 3}0.428{col 68}{space 4}-4.519192{col 81}{space 3}  10.6484
{txt}{space 23}14  {c |}{col 28}{res}{space 2} 3.092675{col 40}{space 2} 5.274206{col 51}{space 1}    0.59{col 60}{space 3}0.558{col 68}{space 4} -7.24458{col 81}{space 3} 13.42993
{txt}{space 23}15  {c |}{col 28}{res}{space 2}  3.38839{col 40}{space 2}  4.71981{col 51}{space 1}    0.72{col 60}{space 3}0.473{col 68}{space 4}-5.862268{col 81}{space 3} 12.63905
{txt}{space 23}16  {c |}{col 28}{res}{space 2} 2.220316{col 40}{space 2} 3.655535{col 51}{space 1}    0.61{col 60}{space 3}0.544{col 68}{space 4}-4.944402{col 81}{space 3} 9.385033
{txt}{space 23}17  {c |}{col 28}{res}{space 2}-3.287645{col 40}{space 2}  7.39191{col 51}{space 1}   -0.44{col 60}{space 3}0.656{col 68}{space 4}-17.77552{col 81}{space 3} 11.20023
{txt}{space 23}18  {c |}{col 28}{res}{space 2} .5835261{col 40}{space 2} 5.784456{col 51}{space 1}    0.10{col 60}{space 3}0.920{col 68}{space 4} -10.7538{col 81}{space 3} 11.92085
{txt}{space 23}19  {c |}{col 28}{res}{space 2} 2.476586{col 40}{space 2} 4.908321{col 51}{space 1}    0.50{col 60}{space 3}0.614{col 68}{space 4}-7.143546{col 81}{space 3} 12.09672
{txt}{space 23}20  {c |}{col 28}{res}{space 2} 3.919659{col 40}{space 2} 1.021747{col 51}{space 1}    3.84{col 60}{space 3}0.000{col 68}{space 4} 1.917071{col 81}{space 3} 5.922246
{txt}{space 23}21  {c |}{col 28}{res}{space 2} 3.081677{col 40}{space 2} .9469014{col 51}{space 1}    3.25{col 60}{space 3}0.001{col 68}{space 4} 1.225784{col 81}{space 3} 4.937569
{txt}{space 23}22  {c |}{col 28}{res}{space 2} 1.512028{col 40}{space 2} 2.557019{col 51}{space 1}    0.59{col 60}{space 3}0.554{col 68}{space 4}-3.499638{col 81}{space 3} 6.523694
{txt}{space 23}23  {c |}{col 28}{res}{space 2} 2.727321{col 40}{space 2} 2.058193{col 51}{space 1}    1.33{col 60}{space 3}0.185{col 68}{space 4}-1.306663{col 81}{space 3} 6.761305
{txt}{space 23}24  {c |}{col 28}{res}{space 2} 1.347238{col 40}{space 2} 2.994514{col 51}{space 1}    0.45{col 60}{space 3}0.653{col 68}{space 4}-4.521901{col 81}{space 3} 7.216377
{txt}{space 23}25  {c |}{col 28}{res}{space 2} 1.048222{col 40}{space 2} 2.705249{col 51}{space 1}    0.39{col 60}{space 3}0.698{col 68}{space 4}-4.253969{col 81}{space 3} 6.350412
{txt}{space 23}26  {c |}{col 28}{res}{space 2} .7476135{col 40}{space 2} 4.253003{col 51}{space 1}    0.18{col 60}{space 3}0.860{col 68}{space 4} -7.58812{col 81}{space 3} 9.083347
{txt}{space 23}27  {c |}{col 28}{res}{space 2} 3.535652{col 40}{space 2} 1.469322{col 51}{space 1}    2.41{col 60}{space 3}0.016{col 68}{space 4} .6558335{col 81}{space 3} 6.415471
{txt}{space 23}28  {c |}{col 28}{res}{space 2}-.1897057{col 40}{space 2} 11.80025{col 51}{space 1}   -0.02{col 60}{space 3}0.987{col 68}{space 4}-23.31776{col 81}{space 3} 22.93835
{txt}{space 23}29  {c |}{col 28}{res}{space 2}-3.018007{col 40}{space 2} 21.11401{col 51}{space 1}   -0.14{col 60}{space 3}0.886{col 68}{space 4} -44.4007{col 81}{space 3} 38.36469
{txt}{space 23}30  {c |}{col 28}{res}{space 2}-5.172239{col 40}{space 2} 28.79274{col 51}{space 1}   -0.18{col 60}{space 3}0.857{col 68}{space 4}-61.60497{col 81}{space 3} 51.26049
{txt}{space 23}31  {c |}{col 28}{res}{space 2} 3.309869{col 40}{space 2} 3.509084{col 51}{space 1}    0.94{col 60}{space 3}0.346{col 68}{space 4}-3.567809{col 81}{space 3} 10.18755
{txt}{space 23}32  {c |}{col 28}{res}{space 2} 4.168794{col 40}{space 2} 1.420875{col 51}{space 1}    2.93{col 60}{space 3}0.003{col 68}{space 4}  1.38393{col 81}{space 3} 6.953658
{txt}{space 23}33  {c |}{col 28}{res}{space 2} 1.967434{col 40}{space 2} .7673415{col 51}{space 1}    2.56{col 60}{space 3}0.010{col 68}{space 4} .4634722{col 81}{space 3} 3.471396
{txt}{space 23}34  {c |}{col 28}{res}{space 2} 2.044622{col 40}{space 2} 2.821199{col 51}{space 1}    0.72{col 60}{space 3}0.469{col 68}{space 4}-3.484827{col 81}{space 3} 7.574071
{txt}{space 23}35  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}36  {c |}{col 28}{res}{space 2} 4.265588{col 40}{space 2}  2.26988{col 51}{space 1}    1.88{col 60}{space 3}0.060{col 68}{space 4} -.183294{col 81}{space 3}  8.71447
{txt}{space 23}37  {c |}{col 28}{res}{space 2} 2.986825{col 40}{space 2}  1.52627{col 51}{space 1}    1.96{col 60}{space 3}0.050{col 68}{space 4}-.0046085{col 81}{space 3} 5.978259
{txt}{space 23}38  {c |}{col 28}{res}{space 2} 3.858891{col 40}{space 2} 1.222435{col 51}{space 1}    3.16{col 60}{space 3}0.002{col 68}{space 4} 1.462963{col 81}{space 3} 6.254819
{txt}{space 23}39  {c |}{col 28}{res}{space 2}   4.1585{col 40}{space 2} 1.123105{col 51}{space 1}    3.70{col 60}{space 3}0.000{col 68}{space 4} 1.957256{col 81}{space 3} 6.359745
{txt}{space 23}40  {c |}{col 28}{res}{space 2} 3.481201{col 40}{space 2} 1.603802{col 51}{space 1}    2.17{col 60}{space 3}0.030{col 68}{space 4} .3378079{col 81}{space 3} 6.624594
{txt}{space 23}41  {c |}{col 28}{res}{space 2}  2.88152{col 40}{space 2} 1.059993{col 51}{space 1}    2.72{col 60}{space 3}0.007{col 68}{space 4}  .803973{col 81}{space 3} 4.959068
{txt}{space 23}42  {c |}{col 28}{res}{space 2} .6509721{col 40}{space 2} 1.707395{col 51}{space 1}    0.38{col 60}{space 3}0.703{col 68}{space 4}-2.695462{col 81}{space 3} 3.997406
{txt}{space 23}43  {c |}{col 28}{res}{space 2} 3.247821{col 40}{space 2} 1.709375{col 51}{space 1}    1.90{col 60}{space 3}0.057{col 68}{space 4}-.1024914{col 81}{space 3} 6.598134
{txt}{space 23}44  {c |}{col 28}{res}{space 2} 2.024507{col 40}{space 2}  1.41222{col 51}{space 1}    1.43{col 60}{space 3}0.152{col 68}{space 4}-.7433937{col 81}{space 3} 4.792408
{txt}{space 23}45  {c |}{col 28}{res}{space 2} 3.696559{col 40}{space 2} 1.295404{col 51}{space 1}    2.85{col 60}{space 3}0.004{col 68}{space 4} 1.157614{col 81}{space 3} 6.235505
{txt}{space 23}46  {c |}{col 28}{res}{space 2}  1.90259{col 40}{space 2} 1.136737{col 51}{space 1}    1.67{col 60}{space 3}0.094{col 68}{space 4}-.3253744{col 81}{space 3} 4.130554
{txt}{space 23}47  {c |}{col 28}{res}{space 2} 4.144584{col 40}{space 2} 1.792585{col 51}{space 1}    2.31{col 60}{space 3}0.021{col 68}{space 4}  .631181{col 81}{space 3} 7.657987
{txt}{space 23}48  {c |}{col 28}{res}{space 2} 2.679527{col 40}{space 2} .9486108{col 51}{space 1}    2.82{col 60}{space 3}0.005{col 68}{space 4} .8202841{col 81}{space 3}  4.53877
{txt}{space 23}49  {c |}{col 28}{res}{space 2} 2.601722{col 40}{space 2} 1.804761{col 51}{space 1}    1.44{col 60}{space 3}0.149{col 68}{space 4}-.9355454{col 81}{space 3} 6.138989
{txt}{space 23}50  {c |}{col 28}{res}{space 2} .6364589{col 40}{space 2} 1.216063{col 51}{space 1}    0.52{col 60}{space 3}0.601{col 68}{space 4}-1.746981{col 81}{space 3} 3.019899
{txt}{space 23}51  {c |}{col 28}{res}{space 2} 2.466849{col 40}{space 2} .9592216{col 51}{space 1}    2.57{col 60}{space 3}0.010{col 68}{space 4} .5868091{col 81}{space 3} 4.346889
{txt}{space 23}52  {c |}{col 28}{res}{space 2} 1.419203{col 40}{space 2} 1.557564{col 51}{space 1}    0.91{col 60}{space 3}0.362{col 68}{space 4}-1.633567{col 81}{space 3} 4.471972
{txt}{space 23}53  {c |}{col 28}{res}{space 2} .1955285{col 40}{space 2} .9067732{col 51}{space 1}    0.22{col 60}{space 3}0.829{col 68}{space 4}-1.581714{col 81}{space 3} 1.972771
{txt}{space 23}54  {c |}{col 28}{res}{space 2} .9947015{col 40}{space 2} 1.718461{col 51}{space 1}    0.58{col 60}{space 3}0.563{col 68}{space 4}-2.373421{col 81}{space 3} 4.362824
{txt}{space 23}55  {c |}{col 28}{res}{space 2} .2479896{col 40}{space 2} 1.067162{col 51}{space 1}    0.23{col 60}{space 3}0.816{col 68}{space 4}-1.843609{col 81}{space 3} 2.339588
{txt}{space 23}56  {c |}{col 28}{res}{space 2} .7797994{col 40}{space 2} 1.006051{col 51}{space 1}    0.78{col 60}{space 3}0.438{col 68}{space 4}-1.192024{col 81}{space 3} 2.751623
{txt}{space 23}57  {c |}{col 28}{res}{space 2} 2.390116{col 40}{space 2} .9440709{col 51}{space 1}    2.53{col 60}{space 3}0.011{col 68}{space 4} .5397705{col 81}{space 3} 4.240461
{txt}{space 23}58  {c |}{col 28}{res}{space 2} .0281048{col 40}{space 2} 1.738089{col 51}{space 1}    0.02{col 60}{space 3}0.987{col 68}{space 4}-3.378487{col 81}{space 3} 3.434697
{txt}{space 23}59  {c |}{col 28}{res}{space 2} .3943595{col 40}{space 2} .8602792{col 51}{space 1}    0.46{col 60}{space 3}0.647{col 68}{space 4}-1.291757{col 81}{space 3} 2.080476
{txt}{space 23}60  {c |}{col 28}{res}{space 2}-.1426851{col 40}{space 2} .6692355{col 51}{space 1}   -0.21{col 60}{space 3}0.831{col 68}{space 4}-1.454363{col 81}{space 3} 1.168992
{txt}{space 23}61  {c |}{col 28}{res}{space 2}-.4132228{col 40}{space 2} .6150418{col 51}{space 1}   -0.67{col 60}{space 3}0.502{col 68}{space 4}-1.618683{col 81}{space 3}  .792237
{txt}{space 23}62  {c |}{col 28}{res}{space 2} .5665155{col 40}{space 2} 1.859275{col 51}{space 1}    0.30{col 60}{space 3}0.761{col 68}{space 4}-3.077597{col 81}{space 3} 4.210628
{txt}{space 23}63  {c |}{col 28}{res}{space 2} -.095984{col 40}{space 2} .6185936{col 51}{space 1}   -0.16{col 60}{space 3}0.877{col 68}{space 4}-1.308405{col 81}{space 3} 1.116437
{txt}{space 23}64  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}65  {c |}{col 28}{res}{space 2} .6145002{col 40}{space 2} .7014318{col 51}{space 1}    0.88{col 60}{space 3}0.381{col 68}{space 4}-.7602808{col 81}{space 3} 1.989281
{txt}{space 23}66  {c |}{col 28}{res}{space 2}-1.177952{col 40}{space 2} 1.292446{col 51}{space 1}   -0.91{col 60}{space 3}0.362{col 68}{space 4}-3.711098{col 81}{space 3} 1.355195
{txt}{space 23}67  {c |}{col 28}{res}{space 2} .1206456{col 40}{space 2}  .862924{col 51}{space 1}    0.14{col 60}{space 3}0.889{col 68}{space 4}-1.570654{col 81}{space 3} 1.811946
{txt}{space 23}68  {c |}{col 28}{res}{space 2}-1.020576{col 40}{space 2} .6644807{col 51}{space 1}   -1.54{col 60}{space 3}0.125{col 68}{space 4}-2.322935{col 81}{space 3} .2817819
{txt}{space 23}69  {c |}{col 28}{res}{space 2}-.0306018{col 40}{space 2} .6373212{col 51}{space 1}   -0.05{col 60}{space 3}0.962{col 68}{space 4}-1.279728{col 81}{space 3} 1.218525
{txt}{space 23}70  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}71  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}72  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}73  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}74  {c |}{col 28}{res}{space 2} .1948563{col 40}{space 2} .7073585{col 51}{space 1}    0.28{col 60}{space 3}0.783{col 68}{space 4}-1.191541{col 81}{space 3} 1.581253
{txt}{space 23}75  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2} 5.737349{col 40}{space 2} 2.819052{col 51}{space 1}    2.04{col 60}{space 3}0.042{col 68}{space 4} .2121079{col 81}{space 3} 11.26259
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 21}/ln_r {c |}{col 28}{res}{space 2} .2959944{col 40}{space 2} .1947484{col 68}{space 4}-.0857054{col 81}{space 3} .6776942
{txt}{space 21}/ln_s {c |}{col 28}{res}{space 2} 2.501171{col 40}{space 2} .2715036{col 68}{space 4} 1.969033{col 81}{space 3} 3.033308
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                         r {c |}{col 28}{res}{space 2} 1.344463{col 40}{space 2} .2618319{col 68}{space 4} .9178646{col 81}{space 3} 1.969332
{txt}                         s {c |}{col 28}{res}{space 2} 12.19676{col 40}{space 2} 3.311466{col 68}{space 4} 7.163749{col 81}{space 3} 20.76581
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{txt}LR test vs. pooled: {help j_chibar##|_new:chibar2(01) = }{res}187.15{col 56}{txt}Prob >= chibar2 = {res}0.000
{txt}
{com}. 
. collin total_criminal_cases lag_criminal_cases ln_cum_state_victims peoples_govt_active ln_pop percent_votes1991_1999_GAP       ///
> litrate_1991_2001_GAP road_density_GAP year2002 hilli_region mountain_region region_east region_mid region_west region_farwest sno if year>1995 & year<2007 
{txt}(obs=825)

  Collinearity Diagnostics

                        SQRT                   R-
  Variable      VIF     VIF    Tolerance    Squared
----------------------------------------------------
{res}total_criminal_cases     14.62    3.82    0.0684      0.9316
lag_criminal_cases     15.29    3.91    0.0654      0.9346
ln_cum_state_victims      3.96    1.99    0.2527      0.7473
peoples_govt_active      2.70    1.64    0.3707      0.6293
    ln_pop      6.13    2.48    0.1631      0.8369
percent_votes1991_1999_GAP      1.36    1.17    0.7352      0.2648
litrate_1991_2001_GAP      2.42    1.55    0.4140      0.5860
road_density_GAP      3.95    1.99    0.2534      0.7466
  year2002      3.70    1.92    0.2703      0.7297
hilli_region      2.40    1.55    0.4171      0.5829
mountain_region      3.18    1.78    0.3147      0.6853
region_east     22.00    4.69    0.0455      0.9545
region_mid     10.13    3.18    0.0987      0.9013
region_west      3.63    1.90    0.2758      0.7242
region_farwest      2.96    1.72    0.3384      0.6616
       sno     25.66    5.07    0.0390      0.9610
{txt}----------------------------------------------------
  Mean VIF{res}      7.75

{txt}                           Cond
        Eigenval          Index
---------------------------------
{res}    1     6.7614          1.0000
    2     2.7049          1.5810
    3     1.4457          2.1626
    4     1.2757          2.3022
    5     1.1544          2.4201
    6     0.9477          2.6710
    7     0.7338          3.0355
    8     0.6596          3.2016
    9     0.5164          3.6186
    10     0.2872          4.8518
    11     0.1651          6.3987
    12     0.1531          6.6451
    13     0.0905          8.6439
    14     0.0718          9.7060
    15     0.0235         16.9787
    16     0.0090         27.4606
    17     0.0003        147.6555
{txt}---------------------------------
 Condition Number{res}       147.6555 
{txt} Eigenvalues & Cond Index computed from scaled raw sscp (w/ intercept)
 Det(correlation matrix){res}    0.0000
{txt}
{com}. 
. test

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[total_criminal_cases]lag_criminal_cases = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} [total_criminal_cases]ln_cum_state_victims = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} [total_criminal_cases]peoples_govt_active = 0{p_end}
{p 0 7}{space 1}{text:( 4)}{space 1} [total_criminal_cases]ln_pop = 0{p_end}
{p 0 7}{space 1}{text:( 5)}{space 1} [total_criminal_cases]percent_votes1991_1999_GAP = 0{p_end}
{p 0 7}{space 1}{text:( 6)}{space 1} [total_criminal_cases]litrate_1991_2001_GAP = 0{p_end}
{p 0 7}{space 1}{text:( 7)}{space 1} [total_criminal_cases]road_density_GAP = 0{p_end}
{p 0 7}{space 1}{text:( 8)}{space 1} [total_criminal_cases]year2002 = 0{p_end}
{p 0 7}{space 1}{text:( 9)}{space 1} [total_criminal_cases]hilli_region = 0{p_end}
{p 0 7}{space 1}{text:(10)}{space 1} [total_criminal_cases]mountain_region = 0{p_end}
{p 0 7}{space 1}{text:(11)}{space 1} [total_criminal_cases]region_east = 0{p_end}
{p 0 7}{space 1}{text:(12)}{space 1} [total_criminal_cases]region_mid = 0{p_end}
{p 0 7}{space 1}{text:(13)}{space 1} [total_criminal_cases]region_west = 0{p_end}
{p 0 7}{space 1}{text:(14)}{space 1} [total_criminal_cases]region_farwest = 0{p_end}
{p 0 7}{space 1}{text:(15)}{space 1} [total_criminal_cases]1b.sno = 0{p_end}
{p 0 7}{space 1}{text:(16)}{space 1} [total_criminal_cases]2.sno = 0{p_end}
{p 0 7}{space 1}{text:(17)}{space 1} [total_criminal_cases]3.sno = 0{p_end}
{p 0 7}{space 1}{text:(18)}{space 1} [total_criminal_cases]4.sno = 0{p_end}
{p 0 7}{space 1}{text:(19)}{space 1} [total_criminal_cases]5.sno = 0{p_end}
{p 0 7}{space 1}{text:(20)}{space 1} [total_criminal_cases]6.sno = 0{p_end}
{p 0 7}{space 1}{text:(21)}{space 1} [total_criminal_cases]7.sno = 0{p_end}
{p 0 7}{space 1}{text:(22)}{space 1} [total_criminal_cases]8.sno = 0{p_end}
{p 0 7}{space 1}{text:(23)}{space 1} [total_criminal_cases]9.sno = 0{p_end}
{p 0 7}{space 1}{text:(24)}{space 1} [total_criminal_cases]10.sno = 0{p_end}
{p 0 7}{space 1}{text:(25)}{space 1} [total_criminal_cases]11.sno = 0{p_end}
{p 0 7}{space 1}{text:(26)}{space 1} [total_criminal_cases]12.sno = 0{p_end}
{p 0 7}{space 1}{text:(27)}{space 1} [total_criminal_cases]13.sno = 0{p_end}
{p 0 7}{space 1}{text:(28)}{space 1} [total_criminal_cases]14.sno = 0{p_end}
{p 0 7}{space 1}{text:(29)}{space 1} [total_criminal_cases]15.sno = 0{p_end}
{p 0 7}{space 1}{text:(30)}{space 1} [total_criminal_cases]16.sno = 0{p_end}
{p 0 7}{space 1}{text:(31)}{space 1} [total_criminal_cases]17.sno = 0{p_end}
{p 0 7}{space 1}{text:(32)}{space 1} [total_criminal_cases]18.sno = 0{p_end}
{p 0 7}{space 1}{text:(33)}{space 1} [total_criminal_cases]19.sno = 0{p_end}
{p 0 7}{space 1}{text:(34)}{space 1} [total_criminal_cases]20.sno = 0{p_end}
{p 0 7}{space 1}{text:(35)}{space 1} [total_criminal_cases]21.sno = 0{p_end}
{p 0 7}{space 1}{text:(36)}{space 1} [total_criminal_cases]22.sno = 0{p_end}
{p 0 7}{space 1}{text:(37)}{space 1} [total_criminal_cases]23.sno = 0{p_end}
{p 0 7}{space 1}{text:(38)}{space 1} [total_criminal_cases]24.sno = 0{p_end}
{p 0 7}{space 1}{text:(39)}{space 1} [total_criminal_cases]25.sno = 0{p_end}
{p 0 7}{space 1}{text:(40)}{space 1} [total_criminal_cases]26.sno = 0{p_end}
{p 0 7}{space 1}{text:(41)}{space 1} [total_criminal_cases]27.sno = 0{p_end}
{p 0 7}{space 1}{text:(42)}{space 1} [total_criminal_cases]28.sno = 0{p_end}
{p 0 7}{space 1}{text:(43)}{space 1} [total_criminal_cases]29.sno = 0{p_end}
{p 0 7}{space 1}{text:(44)}{space 1} [total_criminal_cases]30.sno = 0{p_end}
{p 0 7}{space 1}{text:(45)}{space 1} [total_criminal_cases]31.sno = 0{p_end}
{p 0 7}{space 1}{text:(46)}{space 1} [total_criminal_cases]32.sno = 0{p_end}
{p 0 7}{space 1}{text:(47)}{space 1} [total_criminal_cases]33.sno = 0{p_end}
{p 0 7}{space 1}{text:(48)}{space 1} [total_criminal_cases]34.sno = 0{p_end}
{p 0 7}{space 1}{text:(49)}{space 1} [total_criminal_cases]35o.sno = 0{p_end}
{p 0 7}{space 1}{text:(50)}{space 1} [total_criminal_cases]36.sno = 0{p_end}
{p 0 7}{space 1}{text:(51)}{space 1} [total_criminal_cases]37.sno = 0{p_end}
{p 0 7}{space 1}{text:(52)}{space 1} [total_criminal_cases]38.sno = 0{p_end}
{p 0 7}{space 1}{text:(53)}{space 1} [total_criminal_cases]39.sno = 0{p_end}
{p 0 7}{space 1}{text:(54)}{space 1} [total_criminal_cases]40.sno = 0{p_end}
{p 0 7}{space 1}{text:(55)}{space 1} [total_criminal_cases]41.sno = 0{p_end}
{p 0 7}{space 1}{text:(56)}{space 1} [total_criminal_cases]42.sno = 0{p_end}
{p 0 7}{space 1}{text:(57)}{space 1} [total_criminal_cases]43.sno = 0{p_end}
{p 0 7}{space 1}{text:(58)}{space 1} [total_criminal_cases]44.sno = 0{p_end}
{p 0 7}{space 1}{text:(59)}{space 1} [total_criminal_cases]45.sno = 0{p_end}
{p 0 7}{space 1}{text:(60)}{space 1} [total_criminal_cases]46.sno = 0{p_end}
{p 0 7}{space 1}{text:(61)}{space 1} [total_criminal_cases]47.sno = 0{p_end}
{p 0 7}{space 1}{text:(62)}{space 1} [total_criminal_cases]48.sno = 0{p_end}
{p 0 7}{space 1}{text:(63)}{space 1} [total_criminal_cases]49.sno = 0{p_end}
{p 0 7}{space 1}{text:(64)}{space 1} [total_criminal_cases]50.sno = 0{p_end}
{p 0 7}{space 1}{text:(65)}{space 1} [total_criminal_cases]51.sno = 0{p_end}
{p 0 7}{space 1}{text:(66)}{space 1} [total_criminal_cases]52.sno = 0{p_end}
{p 0 7}{space 1}{text:(67)}{space 1} [total_criminal_cases]53.sno = 0{p_end}
{p 0 7}{space 1}{text:(68)}{space 1} [total_criminal_cases]54.sno = 0{p_end}
{p 0 7}{space 1}{text:(69)}{space 1} [total_criminal_cases]55.sno = 0{p_end}
{p 0 7}{space 1}{text:(70)}{space 1} [total_criminal_cases]56.sno = 0{p_end}
{p 0 7}{space 1}{text:(71)}{space 1} [total_criminal_cases]57.sno = 0{p_end}
{p 0 7}{space 1}{text:(72)}{space 1} [total_criminal_cases]58.sno = 0{p_end}
{p 0 7}{space 1}{text:(73)}{space 1} [total_criminal_cases]59.sno = 0{p_end}
{p 0 7}{space 1}{text:(74)}{space 1} [total_criminal_cases]60.sno = 0{p_end}
{p 0 7}{space 1}{text:(75)}{space 1} [total_criminal_cases]61.sno = 0{p_end}
{p 0 7}{space 1}{text:(76)}{space 1} [total_criminal_cases]62.sno = 0{p_end}
{p 0 7}{space 1}{text:(77)}{space 1} [total_criminal_cases]63.sno = 0{p_end}
{p 0 7}{space 1}{text:(78)}{space 1} [total_criminal_cases]64o.sno = 0{p_end}
{p 0 7}{space 1}{text:(79)}{space 1} [total_criminal_cases]65.sno = 0{p_end}
{p 0 7}{space 1}{text:(80)}{space 1} [total_criminal_cases]66.sno = 0{p_end}
{p 0 7}{space 1}{text:(81)}{space 1} [total_criminal_cases]67.sno = 0{p_end}
{p 0 7}{space 1}{text:(82)}{space 1} [total_criminal_cases]68.sno = 0{p_end}
{p 0 7}{space 1}{text:(83)}{space 1} [total_criminal_cases]69.sno = 0{p_end}
{p 0 7}{space 1}{text:(84)}{space 1} [total_criminal_cases]70o.sno = 0{p_end}
{p 0 7}{space 1}{text:(85)}{space 1} [total_criminal_cases]71o.sno = 0{p_end}
{p 0 7}{space 1}{text:(86)}{space 1} [total_criminal_cases]72o.sno = 0{p_end}
{p 0 7}{space 1}{text:(87)}{space 1} [total_criminal_cases]73o.sno = 0{p_end}
{p 0 7}{space 1}{text:(88)}{space 1} [total_criminal_cases]74.sno = 0{p_end}
{p 0 7}{space 1}{text:(89)}{space 1} [total_criminal_cases]75o.sno = 0{p_end}
       {txt}Constraint 15 dropped
       Constraint 49 dropped
       Constraint 78 dropped
       Constraint 84 dropped
       Constraint 85 dropped
       Constraint 86 dropped
       Constraint 87 dropped
       Constraint 89 dropped

           chi2( 81) ={res} 2513.41
         {txt}Prob > chi2 ={res}    0.0000

{txt}
{com}. test ln_cum_state_victims peoples_govt_active

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[total_criminal_cases]ln_cum_state_victims = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} [total_criminal_cases]peoples_govt_active = 0{p_end}

{txt}{col 12}chi2(  2) ={res}  138.52
{txt}{col 10}Prob > chi2 =  {res}  0.0000
{txt}
{com}. estat ic

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}       825{col 27}        .{col 38}-4544.407{col 49}    84{col 58} 9256.814{col 69} 9652.907
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. /////////////Prediction following Criminal cases STATE
> xtnbreg total_criminal_cases lag_criminal_cases ln_cum_state_victims peoples_govt_active ln_pop percent_votes1991_1999_GAP      ///
> litrate_1991_2001_GAP road_density_GAP year2002 hilli_region mountain_region region_east region_mid region_west region_farwest i.sno if year>1995 & year<2007 
{txt}note: 35.sno omitted because of collinearity
note: 64.sno omitted because of collinearity
note: 70.sno omitted because of collinearity
note: 71.sno omitted because of collinearity
note: 72.sno omitted because of collinearity
note: 73.sno omitted because of collinearity
note: 75.sno omitted because of collinearity

Fitting negative binomial (constant dispersion) model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1185516.9}  
Iteration 1:{space 3}log likelihood = {res:-340410.31}  
Iteration 2:{space 3}log likelihood = {res:-170630.19}  
Iteration 3:{space 3}log likelihood = {res:-43525.271}  
Iteration 4:{space 3}log likelihood = {res:-13626.611}  
Iteration 5:{space 3}log likelihood = {res:-12848.626}  
Iteration 6:{space 3}log likelihood = {res:-12844.066}  
Iteration 7:{space 3}log likelihood = {res:-12844.066}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-93080.224}  
Iteration 1:{space 3}log likelihood = {res:-12995.468}  
Iteration 2:{space 3}log likelihood = {res:-6279.1285}  (backed up)
Iteration 3:{space 3}log likelihood = {res: -5681.269}  
Iteration 4:{space 3}log likelihood = {res:-5675.3875}  
Iteration 5:{space 3}log likelihood = {res:-5675.3663}  
Iteration 6:{space 3}log likelihood = {res:-5675.3663}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-5675.3663}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-5542.9213}  (not concave)
Iteration 2:{space 3}log likelihood = {res:-5256.3635}  (not concave)
Iteration 3:{space 3}log likelihood = {res:-4969.0492}  
Iteration 4:{space 3}log likelihood = {res:-4758.6515}  
Iteration 5:{space 3}log likelihood = {res:-4674.6689}  
Iteration 6:{space 3}log likelihood = {res:-4638.2557}  
Iteration 7:{space 3}log likelihood = {res:-4637.9846}  
Iteration 8:{space 3}log likelihood = {res:-4637.9844}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-8541.6757}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-5907.4072}  (not concave)
Iteration 2:{space 3}log likelihood = {res:-4732.7221}  (not concave)
Iteration 3:{space 3}log likelihood = {res:-4651.8314}  
Iteration 4:{space 3}log likelihood = {res:-4583.6878}  
Iteration 5:{space 3}log likelihood = {res:-4558.1037}  
Iteration 6:{space 3}log likelihood = {res:-4545.8731}  
Iteration 7:{space 3}log likelihood = {res:-4544.4148}  
Iteration 8:{space 3}log likelihood = {res:-4544.4072}  
Iteration 9:{space 3}log likelihood = {res:-4544.4072}  
{res}
{txt}Random-effects negative binomial regression{col 49}Number of obs{col 67}={col 69}{res}       825
{txt}Group variable: {res}sno{col 49}{txt}Number of groups{col 67}={col 69}{res}        75

{txt}Random effects u_i ~ {res}Beta{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        11
{txt}{col 63}avg{col 67}={col 69}{res}      11.0
{txt}{col 63}max{col 67}={col 69}{res}        11

{txt}{col 49}Wald chi2({res}81{txt}){col 67}={col 70}{res}  2513.41
{txt}Log likelihood  = {res}-4544.4072{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      total_criminal_cases{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}lag_criminal_cases {c |}{col 28}{res}{space 2} .0002458{col 40}{space 2} .0000625{col 51}{space 1}    3.93{col 60}{space 3}0.000{col 68}{space 4} .0001233{col 81}{space 3} .0003683
{txt}{space 6}ln_cum_state_victims {c |}{col 28}{res}{space 2}-.1077523{col 40}{space 2} .0118072{col 51}{space 1}   -9.13{col 60}{space 3}0.000{col 68}{space 4}-.1308939{col 81}{space 3}-.0846106
{txt}{space 7}peoples_govt_active {c |}{col 28}{res}{space 2}-.1796209{col 40}{space 2} .0329716{col 51}{space 1}   -5.45{col 60}{space 3}0.000{col 68}{space 4} -.244244{col 81}{space 3}-.1149978
{txt}{space 20}ln_pop {c |}{col 28}{res}{space 2}-.1766716{col 40}{space 2} .2020303{col 51}{space 1}   -0.87{col 60}{space 3}0.382{col 68}{space 4}-.5726437{col 81}{space 3} .2193004
{txt}percent_votes1991_1999_GAP {c |}{col 28}{res}{space 2} .0155401{col 40}{space 2} .0042685{col 51}{space 1}    3.64{col 60}{space 3}0.000{col 68}{space 4}  .007174{col 81}{space 3} .0239061
{txt}{space 5}litrate_1991_2001_GAP {c |}{col 28}{res}{space 2} .0146108{col 40}{space 2} .0039013{col 51}{space 1}    3.75{col 60}{space 3}0.000{col 68}{space 4} .0069643{col 81}{space 3} .0222572
{txt}{space 10}road_density_GAP {c |}{col 28}{res}{space 2} 3.552121{col 40}{space 2} 14.42288{col 51}{space 1}    0.25{col 60}{space 3}0.805{col 68}{space 4} -24.7162{col 81}{space 3} 31.82044
{txt}{space 18}year2002 {c |}{col 28}{res}{space 2}  .024949{col 40}{space 2} .0373702{col 51}{space 1}    0.67{col 60}{space 3}0.504{col 68}{space 4}-.0482952{col 81}{space 3} .0981931
{txt}{space 14}hilli_region {c |}{col 28}{res}{space 2}  -1.6679{col 40}{space 2} .5821407{col 51}{space 1}   -2.87{col 60}{space 3}0.004{col 68}{space 4}-2.808874{col 81}{space 3}-.5269248
{txt}{space 11}mountain_region {c |}{col 28}{res}{space 2}-1.293891{col 40}{space 2} 1.865153{col 51}{space 1}   -0.69{col 60}{space 3}0.488{col 68}{space 4}-4.949524{col 81}{space 3} 2.361741
{txt}{space 15}region_east {c |}{col 28}{res}{space 2}-2.331713{col 40}{space 2} 3.653834{col 51}{space 1}   -0.64{col 60}{space 3}0.523{col 68}{space 4}-9.493096{col 81}{space 3} 4.829669
{txt}{space 16}region_mid {c |}{col 28}{res}{space 2}-1.408714{col 40}{space 2} 1.243487{col 51}{space 1}   -1.13{col 60}{space 3}0.257{col 68}{space 4}-3.845903{col 81}{space 3} 1.028476
{txt}{space 15}region_west {c |}{col 28}{res}{space 2}-1.831536{col 40}{space 2} .7101689{col 51}{space 1}   -2.58{col 60}{space 3}0.010{col 68}{space 4}-3.223441{col 81}{space 3}-.4396301
{txt}{space 12}region_farwest {c |}{col 28}{res}{space 2} .8998854{col 40}{space 2} .7319996{col 51}{space 1}    1.23{col 60}{space 3}0.219{col 68}{space 4}-.5348074{col 81}{space 3} 2.334578
{txt}{space 26} {c |}
{space 23}sno {c |}
{space 24}2  {c |}{col 28}{res}{space 2} 2.843576{col 40}{space 2} 2.178257{col 51}{space 1}    1.31{col 60}{space 3}0.192{col 68}{space 4}-1.425729{col 81}{space 3} 7.112881
{txt}{space 24}3  {c |}{col 28}{res}{space 2} 3.634444{col 40}{space 2} 3.272501{col 51}{space 1}    1.11{col 60}{space 3}0.267{col 68}{space 4}-2.779541{col 81}{space 3} 10.04843
{txt}{space 24}4  {c |}{col 28}{res}{space 2} 3.661238{col 40}{space 2} 3.525036{col 51}{space 1}    1.04{col 60}{space 3}0.299{col 68}{space 4}-3.247706{col 81}{space 3} 10.57018
{txt}{space 24}5  {c |}{col 28}{res}{space 2}-.2139185{col 40}{space 2} .5779407{col 51}{space 1}   -0.37{col 60}{space 3}0.711{col 68}{space 4}-1.346662{col 81}{space 3} .9188245
{txt}{space 24}6  {c |}{col 28}{res}{space 2} 2.431214{col 40}{space 2} .5998993{col 51}{space 1}    4.05{col 60}{space 3}0.000{col 68}{space 4} 1.255433{col 81}{space 3} 3.606995
{txt}{space 24}7  {c |}{col 28}{res}{space 2} 3.409803{col 40}{space 2} 2.205679{col 51}{space 1}    1.55{col 60}{space 3}0.122{col 68}{space 4}-.9132488{col 81}{space 3} 7.732856
{txt}{space 24}8  {c |}{col 28}{res}{space 2} 2.851726{col 40}{space 2} 4.276738{col 51}{space 1}    0.67{col 60}{space 3}0.505{col 68}{space 4}-5.530526{col 81}{space 3} 11.23398
{txt}{space 24}9  {c |}{col 28}{res}{space 2}  3.48051{col 40}{space 2} 5.238313{col 51}{space 1}    0.66{col 60}{space 3}0.506{col 68}{space 4}-6.786395{col 81}{space 3} 13.74742
{txt}{space 23}10  {c |}{col 28}{res}{space 2} 3.843925{col 40}{space 2} 3.520227{col 51}{space 1}    1.09{col 60}{space 3}0.275{col 68}{space 4}-3.055592{col 81}{space 3} 10.74344
{txt}{space 23}11  {c |}{col 28}{res}{space 2} 3.803308{col 40}{space 2} 2.177631{col 51}{space 1}    1.75{col 60}{space 3}0.081{col 68}{space 4}-.4647702{col 81}{space 3} 8.071386
{txt}{space 23}12  {c |}{col 28}{res}{space 2} 3.669475{col 40}{space 2} 1.821033{col 51}{space 1}    2.02{col 60}{space 3}0.044{col 68}{space 4} .1003154{col 81}{space 3} 7.238635
{txt}{space 23}13  {c |}{col 28}{res}{space 2} 3.064606{col 40}{space 2} 3.869356{col 51}{space 1}    0.79{col 60}{space 3}0.428{col 68}{space 4}-4.519192{col 81}{space 3}  10.6484
{txt}{space 23}14  {c |}{col 28}{res}{space 2} 3.092675{col 40}{space 2} 5.274206{col 51}{space 1}    0.59{col 60}{space 3}0.558{col 68}{space 4} -7.24458{col 81}{space 3} 13.42993
{txt}{space 23}15  {c |}{col 28}{res}{space 2}  3.38839{col 40}{space 2}  4.71981{col 51}{space 1}    0.72{col 60}{space 3}0.473{col 68}{space 4}-5.862268{col 81}{space 3} 12.63905
{txt}{space 23}16  {c |}{col 28}{res}{space 2} 2.220316{col 40}{space 2} 3.655535{col 51}{space 1}    0.61{col 60}{space 3}0.544{col 68}{space 4}-4.944402{col 81}{space 3} 9.385033
{txt}{space 23}17  {c |}{col 28}{res}{space 2}-3.287645{col 40}{space 2}  7.39191{col 51}{space 1}   -0.44{col 60}{space 3}0.656{col 68}{space 4}-17.77552{col 81}{space 3} 11.20023
{txt}{space 23}18  {c |}{col 28}{res}{space 2} .5835261{col 40}{space 2} 5.784456{col 51}{space 1}    0.10{col 60}{space 3}0.920{col 68}{space 4} -10.7538{col 81}{space 3} 11.92085
{txt}{space 23}19  {c |}{col 28}{res}{space 2} 2.476586{col 40}{space 2} 4.908321{col 51}{space 1}    0.50{col 60}{space 3}0.614{col 68}{space 4}-7.143546{col 81}{space 3} 12.09672
{txt}{space 23}20  {c |}{col 28}{res}{space 2} 3.919659{col 40}{space 2} 1.021747{col 51}{space 1}    3.84{col 60}{space 3}0.000{col 68}{space 4} 1.917071{col 81}{space 3} 5.922246
{txt}{space 23}21  {c |}{col 28}{res}{space 2} 3.081677{col 40}{space 2} .9469014{col 51}{space 1}    3.25{col 60}{space 3}0.001{col 68}{space 4} 1.225784{col 81}{space 3} 4.937569
{txt}{space 23}22  {c |}{col 28}{res}{space 2} 1.512028{col 40}{space 2} 2.557019{col 51}{space 1}    0.59{col 60}{space 3}0.554{col 68}{space 4}-3.499638{col 81}{space 3} 6.523694
{txt}{space 23}23  {c |}{col 28}{res}{space 2} 2.727321{col 40}{space 2} 2.058193{col 51}{space 1}    1.33{col 60}{space 3}0.185{col 68}{space 4}-1.306663{col 81}{space 3} 6.761305
{txt}{space 23}24  {c |}{col 28}{res}{space 2} 1.347238{col 40}{space 2} 2.994514{col 51}{space 1}    0.45{col 60}{space 3}0.653{col 68}{space 4}-4.521901{col 81}{space 3} 7.216377
{txt}{space 23}25  {c |}{col 28}{res}{space 2} 1.048222{col 40}{space 2} 2.705249{col 51}{space 1}    0.39{col 60}{space 3}0.698{col 68}{space 4}-4.253969{col 81}{space 3} 6.350412
{txt}{space 23}26  {c |}{col 28}{res}{space 2} .7476135{col 40}{space 2} 4.253003{col 51}{space 1}    0.18{col 60}{space 3}0.860{col 68}{space 4} -7.58812{col 81}{space 3} 9.083347
{txt}{space 23}27  {c |}{col 28}{res}{space 2} 3.535652{col 40}{space 2} 1.469322{col 51}{space 1}    2.41{col 60}{space 3}0.016{col 68}{space 4} .6558335{col 81}{space 3} 6.415471
{txt}{space 23}28  {c |}{col 28}{res}{space 2}-.1897057{col 40}{space 2} 11.80025{col 51}{space 1}   -0.02{col 60}{space 3}0.987{col 68}{space 4}-23.31776{col 81}{space 3} 22.93835
{txt}{space 23}29  {c |}{col 28}{res}{space 2}-3.018007{col 40}{space 2} 21.11401{col 51}{space 1}   -0.14{col 60}{space 3}0.886{col 68}{space 4} -44.4007{col 81}{space 3} 38.36469
{txt}{space 23}30  {c |}{col 28}{res}{space 2}-5.172239{col 40}{space 2} 28.79274{col 51}{space 1}   -0.18{col 60}{space 3}0.857{col 68}{space 4}-61.60497{col 81}{space 3} 51.26049
{txt}{space 23}31  {c |}{col 28}{res}{space 2} 3.309869{col 40}{space 2} 3.509084{col 51}{space 1}    0.94{col 60}{space 3}0.346{col 68}{space 4}-3.567809{col 81}{space 3} 10.18755
{txt}{space 23}32  {c |}{col 28}{res}{space 2} 4.168794{col 40}{space 2} 1.420875{col 51}{space 1}    2.93{col 60}{space 3}0.003{col 68}{space 4}  1.38393{col 81}{space 3} 6.953658
{txt}{space 23}33  {c |}{col 28}{res}{space 2} 1.967434{col 40}{space 2} .7673415{col 51}{space 1}    2.56{col 60}{space 3}0.010{col 68}{space 4} .4634722{col 81}{space 3} 3.471396
{txt}{space 23}34  {c |}{col 28}{res}{space 2} 2.044622{col 40}{space 2} 2.821199{col 51}{space 1}    0.72{col 60}{space 3}0.469{col 68}{space 4}-3.484827{col 81}{space 3} 7.574071
{txt}{space 23}35  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}36  {c |}{col 28}{res}{space 2} 4.265588{col 40}{space 2}  2.26988{col 51}{space 1}    1.88{col 60}{space 3}0.060{col 68}{space 4} -.183294{col 81}{space 3}  8.71447
{txt}{space 23}37  {c |}{col 28}{res}{space 2} 2.986825{col 40}{space 2}  1.52627{col 51}{space 1}    1.96{col 60}{space 3}0.050{col 68}{space 4}-.0046085{col 81}{space 3} 5.978259
{txt}{space 23}38  {c |}{col 28}{res}{space 2} 3.858891{col 40}{space 2} 1.222435{col 51}{space 1}    3.16{col 60}{space 3}0.002{col 68}{space 4} 1.462963{col 81}{space 3} 6.254819
{txt}{space 23}39  {c |}{col 28}{res}{space 2}   4.1585{col 40}{space 2} 1.123105{col 51}{space 1}    3.70{col 60}{space 3}0.000{col 68}{space 4} 1.957256{col 81}{space 3} 6.359745
{txt}{space 23}40  {c |}{col 28}{res}{space 2} 3.481201{col 40}{space 2} 1.603802{col 51}{space 1}    2.17{col 60}{space 3}0.030{col 68}{space 4} .3378079{col 81}{space 3} 6.624594
{txt}{space 23}41  {c |}{col 28}{res}{space 2}  2.88152{col 40}{space 2} 1.059993{col 51}{space 1}    2.72{col 60}{space 3}0.007{col 68}{space 4}  .803973{col 81}{space 3} 4.959068
{txt}{space 23}42  {c |}{col 28}{res}{space 2} .6509721{col 40}{space 2} 1.707395{col 51}{space 1}    0.38{col 60}{space 3}0.703{col 68}{space 4}-2.695462{col 81}{space 3} 3.997406
{txt}{space 23}43  {c |}{col 28}{res}{space 2} 3.247821{col 40}{space 2} 1.709375{col 51}{space 1}    1.90{col 60}{space 3}0.057{col 68}{space 4}-.1024914{col 81}{space 3} 6.598134
{txt}{space 23}44  {c |}{col 28}{res}{space 2} 2.024507{col 40}{space 2}  1.41222{col 51}{space 1}    1.43{col 60}{space 3}0.152{col 68}{space 4}-.7433937{col 81}{space 3} 4.792408
{txt}{space 23}45  {c |}{col 28}{res}{space 2} 3.696559{col 40}{space 2} 1.295404{col 51}{space 1}    2.85{col 60}{space 3}0.004{col 68}{space 4} 1.157614{col 81}{space 3} 6.235505
{txt}{space 23}46  {c |}{col 28}{res}{space 2}  1.90259{col 40}{space 2} 1.136737{col 51}{space 1}    1.67{col 60}{space 3}0.094{col 68}{space 4}-.3253744{col 81}{space 3} 4.130554
{txt}{space 23}47  {c |}{col 28}{res}{space 2} 4.144584{col 40}{space 2} 1.792585{col 51}{space 1}    2.31{col 60}{space 3}0.021{col 68}{space 4}  .631181{col 81}{space 3} 7.657987
{txt}{space 23}48  {c |}{col 28}{res}{space 2} 2.679527{col 40}{space 2} .9486108{col 51}{space 1}    2.82{col 60}{space 3}0.005{col 68}{space 4} .8202841{col 81}{space 3}  4.53877
{txt}{space 23}49  {c |}{col 28}{res}{space 2} 2.601722{col 40}{space 2} 1.804761{col 51}{space 1}    1.44{col 60}{space 3}0.149{col 68}{space 4}-.9355454{col 81}{space 3} 6.138989
{txt}{space 23}50  {c |}{col 28}{res}{space 2} .6364589{col 40}{space 2} 1.216063{col 51}{space 1}    0.52{col 60}{space 3}0.601{col 68}{space 4}-1.746981{col 81}{space 3} 3.019899
{txt}{space 23}51  {c |}{col 28}{res}{space 2} 2.466849{col 40}{space 2} .9592216{col 51}{space 1}    2.57{col 60}{space 3}0.010{col 68}{space 4} .5868091{col 81}{space 3} 4.346889
{txt}{space 23}52  {c |}{col 28}{res}{space 2} 1.419203{col 40}{space 2} 1.557564{col 51}{space 1}    0.91{col 60}{space 3}0.362{col 68}{space 4}-1.633567{col 81}{space 3} 4.471972
{txt}{space 23}53  {c |}{col 28}{res}{space 2} .1955285{col 40}{space 2} .9067732{col 51}{space 1}    0.22{col 60}{space 3}0.829{col 68}{space 4}-1.581714{col 81}{space 3} 1.972771
{txt}{space 23}54  {c |}{col 28}{res}{space 2} .9947015{col 40}{space 2} 1.718461{col 51}{space 1}    0.58{col 60}{space 3}0.563{col 68}{space 4}-2.373421{col 81}{space 3} 4.362824
{txt}{space 23}55  {c |}{col 28}{res}{space 2} .2479896{col 40}{space 2} 1.067162{col 51}{space 1}    0.23{col 60}{space 3}0.816{col 68}{space 4}-1.843609{col 81}{space 3} 2.339588
{txt}{space 23}56  {c |}{col 28}{res}{space 2} .7797994{col 40}{space 2} 1.006051{col 51}{space 1}    0.78{col 60}{space 3}0.438{col 68}{space 4}-1.192024{col 81}{space 3} 2.751623
{txt}{space 23}57  {c |}{col 28}{res}{space 2} 2.390116{col 40}{space 2} .9440709{col 51}{space 1}    2.53{col 60}{space 3}0.011{col 68}{space 4} .5397705{col 81}{space 3} 4.240461
{txt}{space 23}58  {c |}{col 28}{res}{space 2} .0281048{col 40}{space 2} 1.738089{col 51}{space 1}    0.02{col 60}{space 3}0.987{col 68}{space 4}-3.378487{col 81}{space 3} 3.434697
{txt}{space 23}59  {c |}{col 28}{res}{space 2} .3943595{col 40}{space 2} .8602792{col 51}{space 1}    0.46{col 60}{space 3}0.647{col 68}{space 4}-1.291757{col 81}{space 3} 2.080476
{txt}{space 23}60  {c |}{col 28}{res}{space 2}-.1426851{col 40}{space 2} .6692355{col 51}{space 1}   -0.21{col 60}{space 3}0.831{col 68}{space 4}-1.454363{col 81}{space 3} 1.168992
{txt}{space 23}61  {c |}{col 28}{res}{space 2}-.4132228{col 40}{space 2} .6150418{col 51}{space 1}   -0.67{col 60}{space 3}0.502{col 68}{space 4}-1.618683{col 81}{space 3}  .792237
{txt}{space 23}62  {c |}{col 28}{res}{space 2} .5665155{col 40}{space 2} 1.859275{col 51}{space 1}    0.30{col 60}{space 3}0.761{col 68}{space 4}-3.077597{col 81}{space 3} 4.210628
{txt}{space 23}63  {c |}{col 28}{res}{space 2} -.095984{col 40}{space 2} .6185936{col 51}{space 1}   -0.16{col 60}{space 3}0.877{col 68}{space 4}-1.308405{col 81}{space 3} 1.116437
{txt}{space 23}64  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}65  {c |}{col 28}{res}{space 2} .6145002{col 40}{space 2} .7014318{col 51}{space 1}    0.88{col 60}{space 3}0.381{col 68}{space 4}-.7602808{col 81}{space 3} 1.989281
{txt}{space 23}66  {c |}{col 28}{res}{space 2}-1.177952{col 40}{space 2} 1.292446{col 51}{space 1}   -0.91{col 60}{space 3}0.362{col 68}{space 4}-3.711098{col 81}{space 3} 1.355195
{txt}{space 23}67  {c |}{col 28}{res}{space 2} .1206456{col 40}{space 2}  .862924{col 51}{space 1}    0.14{col 60}{space 3}0.889{col 68}{space 4}-1.570654{col 81}{space 3} 1.811946
{txt}{space 23}68  {c |}{col 28}{res}{space 2}-1.020576{col 40}{space 2} .6644807{col 51}{space 1}   -1.54{col 60}{space 3}0.125{col 68}{space 4}-2.322935{col 81}{space 3} .2817819
{txt}{space 23}69  {c |}{col 28}{res}{space 2}-.0306018{col 40}{space 2} .6373212{col 51}{space 1}   -0.05{col 60}{space 3}0.962{col 68}{space 4}-1.279728{col 81}{space 3} 1.218525
{txt}{space 23}70  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}71  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}72  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}73  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}74  {c |}{col 28}{res}{space 2} .1948563{col 40}{space 2} .7073585{col 51}{space 1}    0.28{col 60}{space 3}0.783{col 68}{space 4}-1.191541{col 81}{space 3} 1.581253
{txt}{space 23}75  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2} 5.737349{col 40}{space 2} 2.819052{col 51}{space 1}    2.04{col 60}{space 3}0.042{col 68}{space 4} .2121079{col 81}{space 3} 11.26259
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 21}/ln_r {c |}{col 28}{res}{space 2} .2959944{col 40}{space 2} .1947484{col 68}{space 4}-.0857054{col 81}{space 3} .6776942
{txt}{space 21}/ln_s {c |}{col 28}{res}{space 2} 2.501171{col 40}{space 2} .2715036{col 68}{space 4} 1.969033{col 81}{space 3} 3.033308
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                         r {c |}{col 28}{res}{space 2} 1.344463{col 40}{space 2} .2618319{col 68}{space 4} .9178646{col 81}{space 3} 1.969332
{txt}                         s {c |}{col 28}{res}{space 2} 12.19676{col 40}{space 2} 3.311466{col 68}{space 4} 7.163749{col 81}{space 3} 20.76581
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{txt}LR test vs. pooled: {help j_chibar##|_new:chibar2(01) = }{res}187.15{col 56}{txt}Prob >= chibar2 = {res}0.000
{txt}
{com}.  margins, atmeans at(ln_cum_state_victims =(0(.5)6.5))
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       825
{txt}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:lag_crimin~s}{space 4}{txt:=} {space 3}386.5491 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_sta~s}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 3}.3939394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:lag_crimin~s}{space 4}{txt:=} {space 3}386.5491 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_sta~s}{space 4}{txt:=} {space 9}.5}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 3}.3939394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:lag_crimin~s}{space 4}{txt:=} {space 3}386.5491 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_sta~s}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 3}.3939394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:lag_crimin~s}{space 4}{txt:=} {space 3}386.5491 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_sta~s}{space 4}{txt:=} {space 8}1.5}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 3}.3939394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:lag_crimin~s}{space 4}{txt:=} {space 3}386.5491 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_sta~s}{space 4}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 3}.3939394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:lag_crimin~s}{space 4}{txt:=} {space 3}386.5491 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_sta~s}{space 4}{txt:=} {space 8}2.5}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 3}.3939394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:lag_crimin~s}{space 4}{txt:=} {space 3}386.5491 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_sta~s}{space 4}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 3}.3939394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:lag_crimin~s}{space 4}{txt:=} {space 3}386.5491 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_sta~s}{space 4}{txt:=} {space 8}3.5}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 3}.3939394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:lag_crimin~s}{space 4}{txt:=} {space 3}386.5491 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_sta~s}{space 4}{txt:=} {space 10}4}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 3}.3939394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:lag_crimin~s}{space 4}{txt:=} {space 3}386.5491 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_sta~s}{space 4}{txt:=} {space 8}4.5}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 3}.3939394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:lag_crimin~s}{space 4}{txt:=} {space 3}386.5491 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_sta~s}{space 4}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 3}.3939394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:lag_crimin~s}{space 4}{txt:=} {space 3}386.5491 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_sta~s}{space 4}{txt:=} {space 8}5.5}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 3}.3939394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt:lag_crimin~s}{space 4}{txt:=} {space 3}386.5491 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_sta~s}{space 4}{txt:=} {space 10}6}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 3}.3939394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:14._at}:{space 1}{res:{txt:lag_crimin~s}{space 4}{txt:=} {space 3}386.5491 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_sta~s}{space 4}{txt:=} {space 8}6.5}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 3}.3939394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 2.884408{col 26}{space 2} .0668013{col 37}{space 1}   43.18{col 46}{space 3}0.000{col 54}{space 4}  2.75348{col 67}{space 3} 3.015337
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 2.830532{col 26}{space 2} .0645573{col 37}{space 1}   43.85{col 46}{space 3}0.000{col 54}{space 4} 2.704002{col 67}{space 3} 2.957062
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 2.776656{col 26}{space 2}   .06279{col 37}{space 1}   44.22{col 46}{space 3}0.000{col 54}{space 4}  2.65359{col 67}{space 3} 2.899722
{txt}{space 10}4  {c |}{col 14}{res}{space 2}  2.72278{col 26}{space 2} .0615405{col 37}{space 1}   44.24{col 46}{space 3}0.000{col 54}{space 4} 2.602163{col 67}{space 3} 2.843397
{txt}{space 10}5  {c |}{col 14}{res}{space 2} 2.668904{col 26}{space 2} .0608407{col 37}{space 1}   43.87{col 46}{space 3}0.000{col 54}{space 4} 2.549658{col 67}{space 3} 2.788149
{txt}{space 10}6  {c |}{col 14}{res}{space 2} 2.615028{col 26}{space 2} .0607095{col 37}{space 1}   43.07{col 46}{space 3}0.000{col 54}{space 4} 2.496039{col 67}{space 3} 2.734016
{txt}{space 10}7  {c |}{col 14}{res}{space 2} 2.561152{col 26}{space 2} .0611506{col 37}{space 1}   41.88{col 46}{space 3}0.000{col 54}{space 4} 2.441299{col 67}{space 3} 2.681005
{txt}{space 10}8  {c |}{col 14}{res}{space 2} 2.507276{col 26}{space 2}  .062152{col 37}{space 1}   40.34{col 46}{space 3}0.000{col 54}{space 4}  2.38546{col 67}{space 3} 2.629091
{txt}{space 10}9  {c |}{col 14}{res}{space 2} 2.453399{col 26}{space 2}  .063687{col 37}{space 1}   38.52{col 46}{space 3}0.000{col 54}{space 4} 2.328575{col 67}{space 3} 2.578224
{txt}{space 9}10  {c |}{col 14}{res}{space 2} 2.399523{col 26}{space 2} .0657184{col 37}{space 1}   36.51{col 46}{space 3}0.000{col 54}{space 4} 2.270718{col 67}{space 3} 2.528329
{txt}{space 9}11  {c |}{col 14}{res}{space 2} 2.345647{col 26}{space 2} .0682018{col 37}{space 1}   34.39{col 46}{space 3}0.000{col 54}{space 4} 2.211974{col 67}{space 3}  2.47932
{txt}{space 9}12  {c |}{col 14}{res}{space 2} 2.291771{col 26}{space 2} .0710899{col 37}{space 1}   32.24{col 46}{space 3}0.000{col 54}{space 4} 2.152437{col 67}{space 3} 2.431105
{txt}{space 9}13  {c |}{col 14}{res}{space 2} 2.237895{col 26}{space 2} .0743355{col 37}{space 1}   30.11{col 46}{space 3}0.000{col 54}{space 4}   2.0922{col 67}{space 3}  2.38359
{txt}{space 9}14  {c |}{col 14}{res}{space 2} 2.184019{col 26}{space 2} .0778939{col 37}{space 1}   28.04{col 46}{space 3}0.000{col 54}{space 4} 2.031349{col 67}{space 3} 2.336688
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, addplot(hist ln_cum_state_victims)
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: ln_cum_state_victims{p_end}
{res}{txt}
{com}. 
. //Margins for people's government
. margins, atmeans at(peoples_govt_active=0)
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       825
{txt}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:lag_crimin~s}{space 4}{txt:=} {space 3}386.5491 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_sta~s}{space 4}{txt:=} {space 3}2.400533 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}_cons {c |}{col 14}{res}{space 2} 2.696505{col 26}{space 2} .0614477{col 37}{space 1}   43.88{col 46}{space 3}0.000{col 54}{space 4}  2.57607{col 67}{space 3} 2.816941
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, atmeans at(peoples_govt_active=1)
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       825
{txt}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:lag_crimin~s}{space 4}{txt:=} {space 3}386.5491 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_sta~s}{space 4}{txt:=} {space 3}2.400533 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}_cons {c |}{col 14}{res}{space 2} 2.516884{col 26}{space 2} .0648053{col 37}{space 1}   38.84{col 46}{space 3}0.000{col 54}{space 4} 2.389868{col 67}{space 3} 2.643901
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.  
.  ///////////////////
> 
. xtnbreg total_criminal_cases lag_criminal_cases ln_cum_maoist_victims peoples_govt_active ln_pop percent_votes1991_1999_GAP     ///
> litrate_1991_2001_GAP road_density_GAP year2002 hilli_region mountain_region region_east region_mid region_west region_farwest i.sno if year>1995 & year<2007 
{txt}note: 35.sno omitted because of collinearity
note: 64.sno omitted because of collinearity
note: 70.sno omitted because of collinearity
note: 71.sno omitted because of collinearity
note: 72.sno omitted because of collinearity
note: 73.sno omitted because of collinearity
note: 75.sno omitted because of collinearity

Fitting negative binomial (constant dispersion) model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1183764.8}  
Iteration 1:{space 3}log likelihood = {res:-341366.16}  
Iteration 2:{space 3}log likelihood = {res:-171036.92}  
Iteration 3:{space 3}log likelihood = {res:-44110.464}  
Iteration 4:{space 3}log likelihood = {res:-13941.816}  
Iteration 5:{space 3}log likelihood = {res:-13147.027}  
Iteration 6:{space 3}log likelihood = {res:-13142.352}  
Iteration 7:{space 3}log likelihood = {res:-13142.352}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-93080.224}  
Iteration 1:{space 3}log likelihood = {res:-12995.468}  
Iteration 2:{space 3}log likelihood = {res:-6279.1285}  (backed up)
Iteration 3:{space 3}log likelihood = {res: -5681.269}  
Iteration 4:{space 3}log likelihood = {res:-5675.3875}  
Iteration 5:{space 3}log likelihood = {res:-5675.3663}  
Iteration 6:{space 3}log likelihood = {res:-5675.3663}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-5675.3663}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-5542.8899}  (not concave)
Iteration 2:{space 3}log likelihood = {res:-5257.2809}  (not concave)
Iteration 3:{space 3}log likelihood = {res:-4970.7964}  
Iteration 4:{space 3}log likelihood = {res:-4766.6254}  
Iteration 5:{space 3}log likelihood = {res:-4689.9751}  
Iteration 6:{space 3}log likelihood = {res:-4650.4975}  
Iteration 7:{space 3}log likelihood = {res:-4650.0788}  
Iteration 8:{space 3}log likelihood = {res:-4650.0783}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: -8708.921}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-6395.6959}  (not concave)
Iteration 2:{space 3}log likelihood = {res:-4750.9941}  
Iteration 3:{space 3}log likelihood = {res:-4650.2867}  
Iteration 4:{space 3}log likelihood = {res:-4620.1294}  (not concave)
Iteration 5:{space 3}log likelihood = {res:-4609.0742}  
Iteration 6:{space 3}log likelihood = {res: -4603.656}  
Iteration 7:{space 3}log likelihood = {res:-4569.5677}  
Iteration 8:{space 3}log likelihood = {res:-4560.1164}  
Iteration 9:{space 3}log likelihood = {res:     -4560}  
Iteration 10:{space 2}log likelihood = {res:-4559.9999}  
{res}
{txt}Random-effects negative binomial regression{col 49}Number of obs{col 67}={col 69}{res}       825
{txt}Group variable: {res}sno{col 49}{txt}Number of groups{col 67}={col 69}{res}        75

{txt}Random effects u_i ~ {res}Beta{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        11
{txt}{col 63}avg{col 67}={col 69}{res}      11.0
{txt}{col 63}max{col 67}={col 69}{res}        11

{txt}{col 49}Wald chi2({res}81{txt}){col 67}={col 70}{res}  2325.91
{txt}Log likelihood  = {res}-4559.9999{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      total_criminal_cases{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}lag_criminal_cases {c |}{col 28}{res}{space 2} .0001861{col 40}{space 2} .0000722{col 51}{space 1}    2.58{col 60}{space 3}0.010{col 68}{space 4} .0000446{col 81}{space 3} .0003276
{txt}{space 5}ln_cum_maoist_victims {c |}{col 28}{res}{space 2} -.100063{col 40}{space 2} .0141878{col 51}{space 1}   -7.05{col 60}{space 3}0.000{col 68}{space 4}-.1278705{col 81}{space 3}-.0722554
{txt}{space 7}peoples_govt_active {c |}{col 28}{res}{space 2}-.1836176{col 40}{space 2} .0349549{col 51}{space 1}   -5.25{col 60}{space 3}0.000{col 68}{space 4} -.252128{col 81}{space 3}-.1151072
{txt}{space 20}ln_pop {c |}{col 28}{res}{space 2}-.4657279{col 40}{space 2} .2007225{col 51}{space 1}   -2.32{col 60}{space 3}0.020{col 68}{space 4}-.8591367{col 81}{space 3} -.072319
{txt}percent_votes1991_1999_GAP {c |}{col 28}{res}{space 2} .0125002{col 40}{space 2} .0045121{col 51}{space 1}    2.77{col 60}{space 3}0.006{col 68}{space 4} .0036567{col 81}{space 3} .0213438
{txt}{space 5}litrate_1991_2001_GAP {c |}{col 28}{res}{space 2} .0150236{col 40}{space 2} .0040807{col 51}{space 1}    3.68{col 60}{space 3}0.000{col 68}{space 4} .0070257{col 81}{space 3} .0230216
{txt}{space 10}road_density_GAP {c |}{col 28}{res}{space 2} 3.429338{col 40}{space 2} 14.58183{col 51}{space 1}    0.24{col 60}{space 3}0.814{col 68}{space 4}-25.15053{col 81}{space 3} 32.00921
{txt}{space 18}year2002 {c |}{col 28}{res}{space 2}-.0163293{col 40}{space 2}  .038586{col 51}{space 1}   -0.42{col 60}{space 3}0.672{col 68}{space 4}-.0919565{col 81}{space 3} .0592979
{txt}{space 14}hilli_region {c |}{col 28}{res}{space 2}-1.855921{col 40}{space 2} .5857584{col 51}{space 1}   -3.17{col 60}{space 3}0.002{col 68}{space 4}-3.003987{col 81}{space 3}-.7078556
{txt}{space 11}mountain_region {c |}{col 28}{res}{space 2}-1.629889{col 40}{space 2} 1.884388{col 51}{space 1}   -0.86{col 60}{space 3}0.387{col 68}{space 4}-5.323221{col 81}{space 3} 2.063443
{txt}{space 15}region_east {c |}{col 28}{res}{space 2}-1.851389{col 40}{space 2} 3.682462{col 51}{space 1}   -0.50{col 60}{space 3}0.615{col 68}{space 4}-9.068883{col 81}{space 3} 5.366105
{txt}{space 16}region_mid {c |}{col 28}{res}{space 2}-1.836332{col 40}{space 2} 1.248742{col 51}{space 1}   -1.47{col 60}{space 3}0.141{col 68}{space 4}-4.283822{col 81}{space 3} .6111583
{txt}{space 15}region_west {c |}{col 28}{res}{space 2}-2.189904{col 40}{space 2} .7138018{col 51}{space 1}   -3.07{col 60}{space 3}0.002{col 68}{space 4} -3.58893{col 81}{space 3} -.790878
{txt}{space 12}region_farwest {c |}{col 28}{res}{space 2} 1.024172{col 40}{space 2} .7365389{col 51}{space 1}    1.39{col 60}{space 3}0.164{col 68}{space 4}-.4194174{col 81}{space 3} 2.467762
{txt}{space 26} {c |}
{space 23}sno {c |}
{space 24}2  {c |}{col 28}{res}{space 2} 2.667987{col 40}{space 2} 2.203911{col 51}{space 1}    1.21{col 60}{space 3}0.226{col 68}{space 4}-1.651599{col 81}{space 3} 6.987573
{txt}{space 24}3  {c |}{col 28}{res}{space 2} 3.103181{col 40}{space 2} 3.311557{col 51}{space 1}    0.94{col 60}{space 3}0.349{col 68}{space 4}-3.387351{col 81}{space 3} 9.593713
{txt}{space 24}4  {c |}{col 28}{res}{space 2} 3.290773{col 40}{space 2} 3.555623{col 51}{space 1}    0.93{col 60}{space 3}0.355{col 68}{space 4}-3.678121{col 81}{space 3} 10.25967
{txt}{space 24}5  {c |}{col 28}{res}{space 2} .0446404{col 40}{space 2} .5881142{col 51}{space 1}    0.08{col 60}{space 3}0.939{col 68}{space 4}-1.108042{col 81}{space 3} 1.197323
{txt}{space 24}6  {c |}{col 28}{res}{space 2} 2.769211{col 40}{space 2} .6099146{col 51}{space 1}    4.54{col 60}{space 3}0.000{col 68}{space 4}   1.5738{col 81}{space 3} 3.964622
{txt}{space 24}7  {c |}{col 28}{res}{space 2} 3.306772{col 40}{space 2} 2.229082{col 51}{space 1}    1.48{col 60}{space 3}0.138{col 68}{space 4}-1.062147{col 81}{space 3} 7.675692
{txt}{space 24}8  {c |}{col 28}{res}{space 2} 2.256414{col 40}{space 2} 4.323234{col 51}{space 1}    0.52{col 60}{space 3}0.602{col 68}{space 4}-6.216968{col 81}{space 3}  10.7298
{txt}{space 24}9  {c |}{col 28}{res}{space 2} 3.086845{col 40}{space 2} 5.296741{col 51}{space 1}    0.58{col 60}{space 3}0.560{col 68}{space 4}-7.294577{col 81}{space 3} 13.46827
{txt}{space 23}10  {c |}{col 28}{res}{space 2} 3.546021{col 40}{space 2} 3.550247{col 51}{space 1}    1.00{col 60}{space 3}0.318{col 68}{space 4}-3.412334{col 81}{space 3} 10.50438
{txt}{space 23}11  {c |}{col 28}{res}{space 2} 3.457388{col 40}{space 2} 2.208913{col 51}{space 1}    1.57{col 60}{space 3}0.118{col 68}{space 4}-.8720013{col 81}{space 3} 7.786777
{txt}{space 23}12  {c |}{col 28}{res}{space 2} 3.601796{col 40}{space 2} 1.835212{col 51}{space 1}    1.96{col 60}{space 3}0.050{col 68}{space 4} .0048461{col 81}{space 3} 7.198746
{txt}{space 23}13  {c |}{col 28}{res}{space 2} 2.973866{col 40}{space 2} 3.914068{col 51}{space 1}    0.76{col 60}{space 3}0.447{col 68}{space 4}-4.697565{col 81}{space 3}  10.6453
{txt}{space 23}14  {c |}{col 28}{res}{space 2} 2.799367{col 40}{space 2} 5.333664{col 51}{space 1}    0.52{col 60}{space 3}0.600{col 68}{space 4}-7.654422{col 81}{space 3} 13.25316
{txt}{space 23}15  {c |}{col 28}{res}{space 2} 2.961452{col 40}{space 2} 4.773303{col 51}{space 1}    0.62{col 60}{space 3}0.535{col 68}{space 4}-6.394049{col 81}{space 3} 12.31695
{txt}{space 23}16  {c |}{col 28}{res}{space 2} 1.935959{col 40}{space 2} 3.687888{col 51}{space 1}    0.52{col 60}{space 3}0.600{col 68}{space 4}-5.292167{col 81}{space 3} 9.164086
{txt}{space 23}17  {c |}{col 28}{res}{space 2}-2.375725{col 40}{space 2}  7.46285{col 51}{space 1}   -0.32{col 60}{space 3}0.750{col 68}{space 4}-17.00264{col 81}{space 3} 12.25119
{txt}{space 23}18  {c |}{col 28}{res}{space 2} 1.569678{col 40}{space 2} 5.839789{col 51}{space 1}    0.27{col 60}{space 3}0.788{col 68}{space 4}-9.876098{col 81}{space 3} 13.01545
{txt}{space 23}19  {c |}{col 28}{res}{space 2} 2.752252{col 40}{space 2} 4.950232{col 51}{space 1}    0.56{col 60}{space 3}0.578{col 68}{space 4}-6.950025{col 81}{space 3} 12.45453
{txt}{space 23}20  {c |}{col 28}{res}{space 2} 4.628949{col 40}{space 2} 1.028564{col 51}{space 1}    4.50{col 60}{space 3}0.000{col 68}{space 4} 2.613002{col 81}{space 3} 6.644897
{txt}{space 23}21  {c |}{col 28}{res}{space 2} 3.702129{col 40}{space 2} .9505334{col 51}{space 1}    3.89{col 60}{space 3}0.000{col 68}{space 4} 1.839117{col 81}{space 3}  5.56514
{txt}{space 23}22  {c |}{col 28}{res}{space 2} 2.362209{col 40}{space 2} 2.571541{col 51}{space 1}    0.92{col 60}{space 3}0.358{col 68}{space 4}-2.677919{col 81}{space 3} 7.402338
{txt}{space 23}23  {c |}{col 28}{res}{space 2} 3.121374{col 40}{space 2} 2.071708{col 51}{space 1}    1.51{col 60}{space 3}0.132{col 68}{space 4}   -.9391{col 81}{space 3} 7.181848
{txt}{space 23}24  {c |}{col 28}{res}{space 2} 1.955598{col 40}{space 2} 3.017913{col 51}{space 1}    0.65{col 60}{space 3}0.517{col 68}{space 4}-3.959403{col 81}{space 3}   7.8706
{txt}{space 23}25  {c |}{col 28}{res}{space 2} 1.210327{col 40}{space 2} 2.722593{col 51}{space 1}    0.44{col 60}{space 3}0.657{col 68}{space 4}-4.125858{col 81}{space 3} 6.546512
{txt}{space 23}26  {c |}{col 28}{res}{space 2}  1.34094{col 40}{space 2}  4.29876{col 51}{space 1}    0.31{col 60}{space 3}0.755{col 68}{space 4}-7.084474{col 81}{space 3} 9.766355
{txt}{space 23}27  {c |}{col 28}{res}{space 2} 4.483994{col 40}{space 2} 1.470177{col 51}{space 1}    3.05{col 60}{space 3}0.002{col 68}{space 4}   1.6025{col 81}{space 3} 7.365489
{txt}{space 23}28  {c |}{col 28}{res}{space 2} .3908606{col 40}{space 2} 11.91183{col 51}{space 1}    0.03{col 60}{space 3}0.974{col 68}{space 4}-22.95589{col 81}{space 3} 23.73761
{txt}{space 23}29  {c |}{col 28}{res}{space 2}-2.111171{col 40}{space 2}  21.3332{col 51}{space 1}   -0.10{col 60}{space 3}0.921{col 68}{space 4}-43.92348{col 81}{space 3} 39.70113
{txt}{space 23}30  {c |}{col 28}{res}{space 2}-3.936393{col 40}{space 2}   29.087{col 51}{space 1}   -0.14{col 60}{space 3}0.892{col 68}{space 4}-60.94587{col 81}{space 3} 53.07309
{txt}{space 23}31  {c |}{col 28}{res}{space 2} 4.071982{col 40}{space 2} 3.536446{col 51}{space 1}    1.15{col 60}{space 3}0.250{col 68}{space 4}-2.859325{col 81}{space 3} 11.00329
{txt}{space 23}32  {c |}{col 28}{res}{space 2} 5.144589{col 40}{space 2} 1.424204{col 51}{space 1}    3.61{col 60}{space 3}0.000{col 68}{space 4}   2.3532{col 81}{space 3} 7.935977
{txt}{space 23}33  {c |}{col 28}{res}{space 2} 2.716363{col 40}{space 2} .7610146{col 51}{space 1}    3.57{col 60}{space 3}0.000{col 68}{space 4} 1.224801{col 81}{space 3} 4.207924
{txt}{space 23}34  {c |}{col 28}{res}{space 2} 2.570815{col 40}{space 2} 2.835761{col 51}{space 1}    0.91{col 60}{space 3}0.365{col 68}{space 4}-2.987175{col 81}{space 3} 8.128806
{txt}{space 23}35  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}36  {c |}{col 28}{res}{space 2} 4.921642{col 40}{space 2} 2.280101{col 51}{space 1}    2.16{col 60}{space 3}0.031{col 68}{space 4} .4527259{col 81}{space 3} 9.390558
{txt}{space 23}37  {c |}{col 28}{res}{space 2} 3.491966{col 40}{space 2} 1.552859{col 51}{space 1}    2.25{col 60}{space 3}0.025{col 68}{space 4} .4484191{col 81}{space 3} 6.535514
{txt}{space 23}38  {c |}{col 28}{res}{space 2} 4.194816{col 40}{space 2} 1.239967{col 51}{space 1}    3.38{col 60}{space 3}0.001{col 68}{space 4} 1.764524{col 81}{space 3} 6.625107
{txt}{space 23}39  {c |}{col 28}{res}{space 2} 5.104696{col 40}{space 2}  1.12298{col 51}{space 1}    4.55{col 60}{space 3}0.000{col 68}{space 4} 2.903696{col 81}{space 3} 7.305695
{txt}{space 23}40  {c |}{col 28}{res}{space 2} 4.118802{col 40}{space 2} 1.605041{col 51}{space 1}    2.57{col 60}{space 3}0.010{col 68}{space 4}   .97298{col 81}{space 3} 7.264624
{txt}{space 23}41  {c |}{col 28}{res}{space 2} 3.099643{col 40}{space 2} 1.081538{col 51}{space 1}    2.87{col 60}{space 3}0.004{col 68}{space 4}  .979867{col 81}{space 3} 5.219419
{txt}{space 23}42  {c |}{col 28}{res}{space 2} 1.864796{col 40}{space 2} 1.703799{col 51}{space 1}    1.09{col 60}{space 3}0.274{col 68}{space 4}-1.474589{col 81}{space 3} 5.204182
{txt}{space 23}43  {c |}{col 28}{res}{space 2} 3.771313{col 40}{space 2} 1.709711{col 51}{space 1}    2.21{col 60}{space 3}0.027{col 68}{space 4} .4203416{col 81}{space 3} 7.122285
{txt}{space 23}44  {c |}{col 28}{res}{space 2} 2.841425{col 40}{space 2} 1.411975{col 51}{space 1}    2.01{col 60}{space 3}0.044{col 68}{space 4} .0740049{col 81}{space 3} 5.608845
{txt}{space 23}45  {c |}{col 28}{res}{space 2} 4.306963{col 40}{space 2} 1.297468{col 51}{space 1}    3.32{col 60}{space 3}0.001{col 68}{space 4} 1.763973{col 81}{space 3} 6.849952
{txt}{space 23}46  {c |}{col 28}{res}{space 2} 2.648476{col 40}{space 2} 1.132243{col 51}{space 1}    2.34{col 60}{space 3}0.019{col 68}{space 4} .4293194{col 81}{space 3} 4.867632
{txt}{space 23}47  {c |}{col 28}{res}{space 2} 4.637511{col 40}{space 2} 1.822576{col 51}{space 1}    2.54{col 60}{space 3}0.011{col 68}{space 4} 1.065329{col 81}{space 3} 8.209694
{txt}{space 23}48  {c |}{col 28}{res}{space 2} 3.181708{col 40}{space 2} .9561127{col 51}{space 1}    3.33{col 60}{space 3}0.001{col 68}{space 4} 1.307762{col 81}{space 3} 5.055655
{txt}{space 23}49  {c |}{col 28}{res}{space 2} 2.872913{col 40}{space 2} 1.835079{col 51}{space 1}    1.57{col 60}{space 3}0.117{col 68}{space 4}-.7237771{col 81}{space 3} 6.469602
{txt}{space 23}50  {c |}{col 28}{res}{space 2} .7448276{col 40}{space 2} 1.222173{col 51}{space 1}    0.61{col 60}{space 3}0.542{col 68}{space 4}-1.650588{col 81}{space 3} 3.140244
{txt}{space 23}51  {c |}{col 28}{res}{space 2} 2.600583{col 40}{space 2} .9612137{col 51}{space 1}    2.71{col 60}{space 3}0.007{col 68}{space 4} .7166387{col 81}{space 3} 4.484527
{txt}{space 23}52  {c |}{col 28}{res}{space 2} 1.460693{col 40}{space 2} 1.589233{col 51}{space 1}    0.92{col 60}{space 3}0.358{col 68}{space 4}-1.654147{col 81}{space 3} 4.575533
{txt}{space 23}53  {c |}{col 28}{res}{space 2} .3334295{col 40}{space 2} .9123739{col 51}{space 1}    0.37{col 60}{space 3}0.715{col 68}{space 4}-1.454791{col 81}{space 3}  2.12165
{txt}{space 23}54  {c |}{col 28}{res}{space 2} 1.040276{col 40}{space 2} 1.749454{col 51}{space 1}    0.59{col 60}{space 3}0.552{col 68}{space 4} -2.38859{col 81}{space 3} 4.469143
{txt}{space 23}55  {c |}{col 28}{res}{space 2} .1584558{col 40}{space 2} 1.074873{col 51}{space 1}    0.15{col 60}{space 3}0.883{col 68}{space 4}-1.948257{col 81}{space 3} 2.265169
{txt}{space 23}56  {c |}{col 28}{res}{space 2}  1.13951{col 40}{space 2} 1.015463{col 51}{space 1}    1.12{col 60}{space 3}0.262{col 68}{space 4}-.8507598{col 81}{space 3}  3.12978
{txt}{space 23}57  {c |}{col 28}{res}{space 2} 2.755633{col 40}{space 2}  .944764{col 51}{space 1}    2.92{col 60}{space 3}0.004{col 68}{space 4} .9039301{col 81}{space 3} 4.607337
{txt}{space 23}58  {c |}{col 28}{res}{space 2} .1571597{col 40}{space 2} 1.765164{col 51}{space 1}    0.09{col 60}{space 3}0.929{col 68}{space 4}-3.302499{col 81}{space 3} 3.616819
{txt}{space 23}59  {c |}{col 28}{res}{space 2} .7364348{col 40}{space 2} .8673692{col 51}{space 1}    0.85{col 60}{space 3}0.396{col 68}{space 4}-.9635775{col 81}{space 3} 2.436447
{txt}{space 23}60  {c |}{col 28}{res}{space 2}-.3038866{col 40}{space 2} .6723713{col 51}{space 1}   -0.45{col 60}{space 3}0.651{col 68}{space 4} -1.62171{col 81}{space 3} 1.013937
{txt}{space 23}61  {c |}{col 28}{res}{space 2}-.2641825{col 40}{space 2} .6226386{col 51}{space 1}   -0.42{col 60}{space 3}0.671{col 68}{space 4}-1.484532{col 81}{space 3} .9561668
{txt}{space 23}62  {c |}{col 28}{res}{space 2} .5193063{col 40}{space 2} 1.890137{col 51}{space 1}    0.27{col 60}{space 3}0.784{col 68}{space 4}-3.185295{col 81}{space 3} 4.223907
{txt}{space 23}63  {c |}{col 28}{res}{space 2}-.3380707{col 40}{space 2} .6204668{col 51}{space 1}   -0.54{col 60}{space 3}0.586{col 68}{space 4}-1.554163{col 81}{space 3} .8780218
{txt}{space 23}64  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}65  {c |}{col 28}{res}{space 2} .9718307{col 40}{space 2} .7103909{col 51}{space 1}    1.37{col 60}{space 3}0.171{col 68}{space 4}-.4205099{col 81}{space 3} 2.364171
{txt}{space 23}66  {c |}{col 28}{res}{space 2}-.9392931{col 40}{space 2}  1.31413{col 51}{space 1}   -0.71{col 60}{space 3}0.475{col 68}{space 4} -3.51494{col 81}{space 3} 1.636354
{txt}{space 23}67  {c |}{col 28}{res}{space 2} .3153247{col 40}{space 2} .8789944{col 51}{space 1}    0.36{col 60}{space 3}0.720{col 68}{space 4}-1.407473{col 81}{space 3} 2.038122
{txt}{space 23}68  {c |}{col 28}{res}{space 2}-1.000747{col 40}{space 2} .6668615{col 51}{space 1}   -1.50{col 60}{space 3}0.133{col 68}{space 4}-2.307771{col 81}{space 3}  .306278
{txt}{space 23}69  {c |}{col 28}{res}{space 2} .0339185{col 40}{space 2} .6380496{col 51}{space 1}    0.05{col 60}{space 3}0.958{col 68}{space 4}-1.216636{col 81}{space 3} 1.284473
{txt}{space 23}70  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}71  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}72  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}73  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}74  {c |}{col 28}{res}{space 2}-.1926285{col 40}{space 2} .7141558{col 51}{space 1}   -0.27{col 60}{space 3}0.787{col 68}{space 4}-1.592348{col 81}{space 3} 1.207091
{txt}{space 23}75  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2} 9.234087{col 40}{space 2} 2.813249{col 51}{space 1}    3.28{col 60}{space 3}0.001{col 68}{space 4}  3.72022{col 81}{space 3} 14.74795
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 21}/ln_r {c |}{col 28}{res}{space 2} .2501824{col 40}{space 2} .1960776{col 68}{space 4}-.1341226{col 81}{space 3} .6344874
{txt}{space 21}/ln_s {c |}{col 28}{res}{space 2} 2.474141{col 40}{space 2} .2774913{col 68}{space 4} 1.930268{col 81}{space 3} 3.018014
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                         r {c |}{col 28}{res}{space 2}  1.28426{col 40}{space 2} .2518145{col 68}{space 4} .8744829{col 81}{space 3} 1.886055
{txt}                         s {c |}{col 28}{res}{space 2} 11.87151{col 40}{space 2} 3.294241{col 68}{space 4}  6.89136{col 81}{space 3} 20.45065
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{txt}LR test vs. pooled: {help j_chibar##|_new:chibar2(01) = }{res}180.16{col 56}{txt}Prob >= chibar2 = {res}0.000
{txt}
{com}. 
. collin total_criminal_cases lag_criminal_cases ln_cum_maoist_victims peoples_govt_active ln_pop percent_votes1991_1999_GAP      ///
> litrate_1991_2001_GAP road_density_GAP year2002 hilli_region mountain_region region_east region_mid region_west region_farwest sno if year>1995 & year<2007 
{txt}(obs=825)

  Collinearity Diagnostics

                        SQRT                   R-
  Variable      VIF     VIF    Tolerance    Squared
----------------------------------------------------
{res}total_criminal_cases     14.61    3.82    0.0684      0.9316
lag_criminal_cases     15.29    3.91    0.0654      0.9346
ln_cum_maoist_victims      3.85    1.96    0.2597      0.7403
peoples_govt_active      2.70    1.64    0.3702      0.6298
    ln_pop      6.28    2.51    0.1591      0.8409
percent_votes1991_1999_GAP      1.36    1.16    0.7374      0.2626
litrate_1991_2001_GAP      2.41    1.55    0.4143      0.5857
road_density_GAP      3.95    1.99    0.2530      0.7470
  year2002      3.62    1.90    0.2762      0.7238
hilli_region      2.39    1.55    0.4183      0.5817
mountain_region      3.20    1.79    0.3128      0.6872
region_east     21.86    4.68    0.0457      0.9543
region_mid      9.96    3.16    0.1004      0.8996
region_west      3.48    1.87    0.2874      0.7126
region_farwest      3.00    1.73    0.3330      0.6670
       sno     25.67    5.07    0.0390      0.9610
{txt}----------------------------------------------------
  Mean VIF{res}      7.73

{txt}                           Cond
        Eigenval          Index
---------------------------------
{res}    1     6.7491          1.0000
    2     2.6991          1.5813
    3     1.4457          2.1606
    4     1.2895          2.2877
    5     1.1611          2.4110
    6     0.9449          2.6725
    7     0.7326          3.0352
    8     0.6604          3.1970
    9     0.5141          3.6234
    10     0.2826          4.8866
    11     0.1649          6.3969
    12     0.1532          6.6366
    13     0.0904          8.6384
    14     0.0795          9.2113
    15     0.0235         16.9479
    16     0.0089         27.6000
    17     0.0003        148.8751
{txt}---------------------------------
 Condition Number{res}       148.8751 
{txt} Eigenvalues & Cond Index computed from scaled raw sscp (w/ intercept)
 Det(correlation matrix){res}    0.0000
{txt}
{com}. 
. test

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[total_criminal_cases]lag_criminal_cases = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} [total_criminal_cases]ln_cum_maoist_victims = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} [total_criminal_cases]peoples_govt_active = 0{p_end}
{p 0 7}{space 1}{text:( 4)}{space 1} [total_criminal_cases]ln_pop = 0{p_end}
{p 0 7}{space 1}{text:( 5)}{space 1} [total_criminal_cases]percent_votes1991_1999_GAP = 0{p_end}
{p 0 7}{space 1}{text:( 6)}{space 1} [total_criminal_cases]litrate_1991_2001_GAP = 0{p_end}
{p 0 7}{space 1}{text:( 7)}{space 1} [total_criminal_cases]road_density_GAP = 0{p_end}
{p 0 7}{space 1}{text:( 8)}{space 1} [total_criminal_cases]year2002 = 0{p_end}
{p 0 7}{space 1}{text:( 9)}{space 1} [total_criminal_cases]hilli_region = 0{p_end}
{p 0 7}{space 1}{text:(10)}{space 1} [total_criminal_cases]mountain_region = 0{p_end}
{p 0 7}{space 1}{text:(11)}{space 1} [total_criminal_cases]region_east = 0{p_end}
{p 0 7}{space 1}{text:(12)}{space 1} [total_criminal_cases]region_mid = 0{p_end}
{p 0 7}{space 1}{text:(13)}{space 1} [total_criminal_cases]region_west = 0{p_end}
{p 0 7}{space 1}{text:(14)}{space 1} [total_criminal_cases]region_farwest = 0{p_end}
{p 0 7}{space 1}{text:(15)}{space 1} [total_criminal_cases]1b.sno = 0{p_end}
{p 0 7}{space 1}{text:(16)}{space 1} [total_criminal_cases]2.sno = 0{p_end}
{p 0 7}{space 1}{text:(17)}{space 1} [total_criminal_cases]3.sno = 0{p_end}
{p 0 7}{space 1}{text:(18)}{space 1} [total_criminal_cases]4.sno = 0{p_end}
{p 0 7}{space 1}{text:(19)}{space 1} [total_criminal_cases]5.sno = 0{p_end}
{p 0 7}{space 1}{text:(20)}{space 1} [total_criminal_cases]6.sno = 0{p_end}
{p 0 7}{space 1}{text:(21)}{space 1} [total_criminal_cases]7.sno = 0{p_end}
{p 0 7}{space 1}{text:(22)}{space 1} [total_criminal_cases]8.sno = 0{p_end}
{p 0 7}{space 1}{text:(23)}{space 1} [total_criminal_cases]9.sno = 0{p_end}
{p 0 7}{space 1}{text:(24)}{space 1} [total_criminal_cases]10.sno = 0{p_end}
{p 0 7}{space 1}{text:(25)}{space 1} [total_criminal_cases]11.sno = 0{p_end}
{p 0 7}{space 1}{text:(26)}{space 1} [total_criminal_cases]12.sno = 0{p_end}
{p 0 7}{space 1}{text:(27)}{space 1} [total_criminal_cases]13.sno = 0{p_end}
{p 0 7}{space 1}{text:(28)}{space 1} [total_criminal_cases]14.sno = 0{p_end}
{p 0 7}{space 1}{text:(29)}{space 1} [total_criminal_cases]15.sno = 0{p_end}
{p 0 7}{space 1}{text:(30)}{space 1} [total_criminal_cases]16.sno = 0{p_end}
{p 0 7}{space 1}{text:(31)}{space 1} [total_criminal_cases]17.sno = 0{p_end}
{p 0 7}{space 1}{text:(32)}{space 1} [total_criminal_cases]18.sno = 0{p_end}
{p 0 7}{space 1}{text:(33)}{space 1} [total_criminal_cases]19.sno = 0{p_end}
{p 0 7}{space 1}{text:(34)}{space 1} [total_criminal_cases]20.sno = 0{p_end}
{p 0 7}{space 1}{text:(35)}{space 1} [total_criminal_cases]21.sno = 0{p_end}
{p 0 7}{space 1}{text:(36)}{space 1} [total_criminal_cases]22.sno = 0{p_end}
{p 0 7}{space 1}{text:(37)}{space 1} [total_criminal_cases]23.sno = 0{p_end}
{p 0 7}{space 1}{text:(38)}{space 1} [total_criminal_cases]24.sno = 0{p_end}
{p 0 7}{space 1}{text:(39)}{space 1} [total_criminal_cases]25.sno = 0{p_end}
{p 0 7}{space 1}{text:(40)}{space 1} [total_criminal_cases]26.sno = 0{p_end}
{p 0 7}{space 1}{text:(41)}{space 1} [total_criminal_cases]27.sno = 0{p_end}
{p 0 7}{space 1}{text:(42)}{space 1} [total_criminal_cases]28.sno = 0{p_end}
{p 0 7}{space 1}{text:(43)}{space 1} [total_criminal_cases]29.sno = 0{p_end}
{p 0 7}{space 1}{text:(44)}{space 1} [total_criminal_cases]30.sno = 0{p_end}
{p 0 7}{space 1}{text:(45)}{space 1} [total_criminal_cases]31.sno = 0{p_end}
{p 0 7}{space 1}{text:(46)}{space 1} [total_criminal_cases]32.sno = 0{p_end}
{p 0 7}{space 1}{text:(47)}{space 1} [total_criminal_cases]33.sno = 0{p_end}
{p 0 7}{space 1}{text:(48)}{space 1} [total_criminal_cases]34.sno = 0{p_end}
{p 0 7}{space 1}{text:(49)}{space 1} [total_criminal_cases]35o.sno = 0{p_end}
{p 0 7}{space 1}{text:(50)}{space 1} [total_criminal_cases]36.sno = 0{p_end}
{p 0 7}{space 1}{text:(51)}{space 1} [total_criminal_cases]37.sno = 0{p_end}
{p 0 7}{space 1}{text:(52)}{space 1} [total_criminal_cases]38.sno = 0{p_end}
{p 0 7}{space 1}{text:(53)}{space 1} [total_criminal_cases]39.sno = 0{p_end}
{p 0 7}{space 1}{text:(54)}{space 1} [total_criminal_cases]40.sno = 0{p_end}
{p 0 7}{space 1}{text:(55)}{space 1} [total_criminal_cases]41.sno = 0{p_end}
{p 0 7}{space 1}{text:(56)}{space 1} [total_criminal_cases]42.sno = 0{p_end}
{p 0 7}{space 1}{text:(57)}{space 1} [total_criminal_cases]43.sno = 0{p_end}
{p 0 7}{space 1}{text:(58)}{space 1} [total_criminal_cases]44.sno = 0{p_end}
{p 0 7}{space 1}{text:(59)}{space 1} [total_criminal_cases]45.sno = 0{p_end}
{p 0 7}{space 1}{text:(60)}{space 1} [total_criminal_cases]46.sno = 0{p_end}
{p 0 7}{space 1}{text:(61)}{space 1} [total_criminal_cases]47.sno = 0{p_end}
{p 0 7}{space 1}{text:(62)}{space 1} [total_criminal_cases]48.sno = 0{p_end}
{p 0 7}{space 1}{text:(63)}{space 1} [total_criminal_cases]49.sno = 0{p_end}
{p 0 7}{space 1}{text:(64)}{space 1} [total_criminal_cases]50.sno = 0{p_end}
{p 0 7}{space 1}{text:(65)}{space 1} [total_criminal_cases]51.sno = 0{p_end}
{p 0 7}{space 1}{text:(66)}{space 1} [total_criminal_cases]52.sno = 0{p_end}
{p 0 7}{space 1}{text:(67)}{space 1} [total_criminal_cases]53.sno = 0{p_end}
{p 0 7}{space 1}{text:(68)}{space 1} [total_criminal_cases]54.sno = 0{p_end}
{p 0 7}{space 1}{text:(69)}{space 1} [total_criminal_cases]55.sno = 0{p_end}
{p 0 7}{space 1}{text:(70)}{space 1} [total_criminal_cases]56.sno = 0{p_end}
{p 0 7}{space 1}{text:(71)}{space 1} [total_criminal_cases]57.sno = 0{p_end}
{p 0 7}{space 1}{text:(72)}{space 1} [total_criminal_cases]58.sno = 0{p_end}
{p 0 7}{space 1}{text:(73)}{space 1} [total_criminal_cases]59.sno = 0{p_end}
{p 0 7}{space 1}{text:(74)}{space 1} [total_criminal_cases]60.sno = 0{p_end}
{p 0 7}{space 1}{text:(75)}{space 1} [total_criminal_cases]61.sno = 0{p_end}
{p 0 7}{space 1}{text:(76)}{space 1} [total_criminal_cases]62.sno = 0{p_end}
{p 0 7}{space 1}{text:(77)}{space 1} [total_criminal_cases]63.sno = 0{p_end}
{p 0 7}{space 1}{text:(78)}{space 1} [total_criminal_cases]64o.sno = 0{p_end}
{p 0 7}{space 1}{text:(79)}{space 1} [total_criminal_cases]65.sno = 0{p_end}
{p 0 7}{space 1}{text:(80)}{space 1} [total_criminal_cases]66.sno = 0{p_end}
{p 0 7}{space 1}{text:(81)}{space 1} [total_criminal_cases]67.sno = 0{p_end}
{p 0 7}{space 1}{text:(82)}{space 1} [total_criminal_cases]68.sno = 0{p_end}
{p 0 7}{space 1}{text:(83)}{space 1} [total_criminal_cases]69.sno = 0{p_end}
{p 0 7}{space 1}{text:(84)}{space 1} [total_criminal_cases]70o.sno = 0{p_end}
{p 0 7}{space 1}{text:(85)}{space 1} [total_criminal_cases]71o.sno = 0{p_end}
{p 0 7}{space 1}{text:(86)}{space 1} [total_criminal_cases]72o.sno = 0{p_end}
{p 0 7}{space 1}{text:(87)}{space 1} [total_criminal_cases]73o.sno = 0{p_end}
{p 0 7}{space 1}{text:(88)}{space 1} [total_criminal_cases]74.sno = 0{p_end}
{p 0 7}{space 1}{text:(89)}{space 1} [total_criminal_cases]75o.sno = 0{p_end}
       {txt}Constraint 15 dropped
       Constraint 49 dropped
       Constraint 78 dropped
       Constraint 84 dropped
       Constraint 85 dropped
       Constraint 86 dropped
       Constraint 87 dropped
       Constraint 89 dropped

           chi2( 81) ={res} 2325.91
         {txt}Prob > chi2 ={res}    0.0000

{txt}
{com}. test ln_cum_maoist_victims peoples_govt_active

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[total_criminal_cases]ln_cum_maoist_victims = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} [total_criminal_cases]peoples_govt_active = 0{p_end}

{txt}{col 12}chi2(  2) ={res}  108.20
{txt}{col 10}Prob > chi2 =  {res}  0.0000
{txt}
{com}. estat ic

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}       825{col 27}        .{col 38}    -4560{col 49}    84{col 58}     9288{col 69} 9684.092
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. /////////////Prediction following Criminal cases MAOIST
> xtnbreg total_criminal_cases lag_criminal_cases ln_cum_maoist_victims peoples_govt_active ln_pop percent_votes1991_1999_GAP     ///
> litrate_1991_2001_GAP road_density_GAP year2002 hilli_region mountain_region region_east region_mid region_west region_farwest i.sno if year>1995 & year<2007 
{txt}note: 35.sno omitted because of collinearity
note: 64.sno omitted because of collinearity
note: 70.sno omitted because of collinearity
note: 71.sno omitted because of collinearity
note: 72.sno omitted because of collinearity
note: 73.sno omitted because of collinearity
note: 75.sno omitted because of collinearity

Fitting negative binomial (constant dispersion) model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1183764.8}  
Iteration 1:{space 3}log likelihood = {res:-341366.16}  
Iteration 2:{space 3}log likelihood = {res:-171036.92}  
Iteration 3:{space 3}log likelihood = {res:-44110.464}  
Iteration 4:{space 3}log likelihood = {res:-13941.816}  
Iteration 5:{space 3}log likelihood = {res:-13147.027}  
Iteration 6:{space 3}log likelihood = {res:-13142.352}  
Iteration 7:{space 3}log likelihood = {res:-13142.352}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-93080.224}  
Iteration 1:{space 3}log likelihood = {res:-12995.468}  
Iteration 2:{space 3}log likelihood = {res:-6279.1285}  (backed up)
Iteration 3:{space 3}log likelihood = {res: -5681.269}  
Iteration 4:{space 3}log likelihood = {res:-5675.3875}  
Iteration 5:{space 3}log likelihood = {res:-5675.3663}  
Iteration 6:{space 3}log likelihood = {res:-5675.3663}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-5675.3663}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-5542.8899}  (not concave)
Iteration 2:{space 3}log likelihood = {res:-5257.2809}  (not concave)
Iteration 3:{space 3}log likelihood = {res:-4970.7964}  
Iteration 4:{space 3}log likelihood = {res:-4766.6254}  
Iteration 5:{space 3}log likelihood = {res:-4689.9751}  
Iteration 6:{space 3}log likelihood = {res:-4650.4975}  
Iteration 7:{space 3}log likelihood = {res:-4650.0788}  
Iteration 8:{space 3}log likelihood = {res:-4650.0783}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: -8708.921}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-6395.6959}  (not concave)
Iteration 2:{space 3}log likelihood = {res:-4750.9941}  
Iteration 3:{space 3}log likelihood = {res:-4650.2867}  
Iteration 4:{space 3}log likelihood = {res:-4620.1294}  (not concave)
Iteration 5:{space 3}log likelihood = {res:-4609.0742}  
Iteration 6:{space 3}log likelihood = {res: -4603.656}  
Iteration 7:{space 3}log likelihood = {res:-4569.5677}  
Iteration 8:{space 3}log likelihood = {res:-4560.1164}  
Iteration 9:{space 3}log likelihood = {res:     -4560}  
Iteration 10:{space 2}log likelihood = {res:-4559.9999}  
{res}
{txt}Random-effects negative binomial regression{col 49}Number of obs{col 67}={col 69}{res}       825
{txt}Group variable: {res}sno{col 49}{txt}Number of groups{col 67}={col 69}{res}        75

{txt}Random effects u_i ~ {res}Beta{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        11
{txt}{col 63}avg{col 67}={col 69}{res}      11.0
{txt}{col 63}max{col 67}={col 69}{res}        11

{txt}{col 49}Wald chi2({res}81{txt}){col 67}={col 70}{res}  2325.91
{txt}Log likelihood  = {res}-4559.9999{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      total_criminal_cases{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}lag_criminal_cases {c |}{col 28}{res}{space 2} .0001861{col 40}{space 2} .0000722{col 51}{space 1}    2.58{col 60}{space 3}0.010{col 68}{space 4} .0000446{col 81}{space 3} .0003276
{txt}{space 5}ln_cum_maoist_victims {c |}{col 28}{res}{space 2} -.100063{col 40}{space 2} .0141878{col 51}{space 1}   -7.05{col 60}{space 3}0.000{col 68}{space 4}-.1278705{col 81}{space 3}-.0722554
{txt}{space 7}peoples_govt_active {c |}{col 28}{res}{space 2}-.1836176{col 40}{space 2} .0349549{col 51}{space 1}   -5.25{col 60}{space 3}0.000{col 68}{space 4} -.252128{col 81}{space 3}-.1151072
{txt}{space 20}ln_pop {c |}{col 28}{res}{space 2}-.4657279{col 40}{space 2} .2007225{col 51}{space 1}   -2.32{col 60}{space 3}0.020{col 68}{space 4}-.8591367{col 81}{space 3} -.072319
{txt}percent_votes1991_1999_GAP {c |}{col 28}{res}{space 2} .0125002{col 40}{space 2} .0045121{col 51}{space 1}    2.77{col 60}{space 3}0.006{col 68}{space 4} .0036567{col 81}{space 3} .0213438
{txt}{space 5}litrate_1991_2001_GAP {c |}{col 28}{res}{space 2} .0150236{col 40}{space 2} .0040807{col 51}{space 1}    3.68{col 60}{space 3}0.000{col 68}{space 4} .0070257{col 81}{space 3} .0230216
{txt}{space 10}road_density_GAP {c |}{col 28}{res}{space 2} 3.429338{col 40}{space 2} 14.58183{col 51}{space 1}    0.24{col 60}{space 3}0.814{col 68}{space 4}-25.15053{col 81}{space 3} 32.00921
{txt}{space 18}year2002 {c |}{col 28}{res}{space 2}-.0163293{col 40}{space 2}  .038586{col 51}{space 1}   -0.42{col 60}{space 3}0.672{col 68}{space 4}-.0919565{col 81}{space 3} .0592979
{txt}{space 14}hilli_region {c |}{col 28}{res}{space 2}-1.855921{col 40}{space 2} .5857584{col 51}{space 1}   -3.17{col 60}{space 3}0.002{col 68}{space 4}-3.003987{col 81}{space 3}-.7078556
{txt}{space 11}mountain_region {c |}{col 28}{res}{space 2}-1.629889{col 40}{space 2} 1.884388{col 51}{space 1}   -0.86{col 60}{space 3}0.387{col 68}{space 4}-5.323221{col 81}{space 3} 2.063443
{txt}{space 15}region_east {c |}{col 28}{res}{space 2}-1.851389{col 40}{space 2} 3.682462{col 51}{space 1}   -0.50{col 60}{space 3}0.615{col 68}{space 4}-9.068883{col 81}{space 3} 5.366105
{txt}{space 16}region_mid {c |}{col 28}{res}{space 2}-1.836332{col 40}{space 2} 1.248742{col 51}{space 1}   -1.47{col 60}{space 3}0.141{col 68}{space 4}-4.283822{col 81}{space 3} .6111583
{txt}{space 15}region_west {c |}{col 28}{res}{space 2}-2.189904{col 40}{space 2} .7138018{col 51}{space 1}   -3.07{col 60}{space 3}0.002{col 68}{space 4} -3.58893{col 81}{space 3} -.790878
{txt}{space 12}region_farwest {c |}{col 28}{res}{space 2} 1.024172{col 40}{space 2} .7365389{col 51}{space 1}    1.39{col 60}{space 3}0.164{col 68}{space 4}-.4194174{col 81}{space 3} 2.467762
{txt}{space 26} {c |}
{space 23}sno {c |}
{space 24}2  {c |}{col 28}{res}{space 2} 2.667987{col 40}{space 2} 2.203911{col 51}{space 1}    1.21{col 60}{space 3}0.226{col 68}{space 4}-1.651599{col 81}{space 3} 6.987573
{txt}{space 24}3  {c |}{col 28}{res}{space 2} 3.103181{col 40}{space 2} 3.311557{col 51}{space 1}    0.94{col 60}{space 3}0.349{col 68}{space 4}-3.387351{col 81}{space 3} 9.593713
{txt}{space 24}4  {c |}{col 28}{res}{space 2} 3.290773{col 40}{space 2} 3.555623{col 51}{space 1}    0.93{col 60}{space 3}0.355{col 68}{space 4}-3.678121{col 81}{space 3} 10.25967
{txt}{space 24}5  {c |}{col 28}{res}{space 2} .0446404{col 40}{space 2} .5881142{col 51}{space 1}    0.08{col 60}{space 3}0.939{col 68}{space 4}-1.108042{col 81}{space 3} 1.197323
{txt}{space 24}6  {c |}{col 28}{res}{space 2} 2.769211{col 40}{space 2} .6099146{col 51}{space 1}    4.54{col 60}{space 3}0.000{col 68}{space 4}   1.5738{col 81}{space 3} 3.964622
{txt}{space 24}7  {c |}{col 28}{res}{space 2} 3.306772{col 40}{space 2} 2.229082{col 51}{space 1}    1.48{col 60}{space 3}0.138{col 68}{space 4}-1.062147{col 81}{space 3} 7.675692
{txt}{space 24}8  {c |}{col 28}{res}{space 2} 2.256414{col 40}{space 2} 4.323234{col 51}{space 1}    0.52{col 60}{space 3}0.602{col 68}{space 4}-6.216968{col 81}{space 3}  10.7298
{txt}{space 24}9  {c |}{col 28}{res}{space 2} 3.086845{col 40}{space 2} 5.296741{col 51}{space 1}    0.58{col 60}{space 3}0.560{col 68}{space 4}-7.294577{col 81}{space 3} 13.46827
{txt}{space 23}10  {c |}{col 28}{res}{space 2} 3.546021{col 40}{space 2} 3.550247{col 51}{space 1}    1.00{col 60}{space 3}0.318{col 68}{space 4}-3.412334{col 81}{space 3} 10.50438
{txt}{space 23}11  {c |}{col 28}{res}{space 2} 3.457388{col 40}{space 2} 2.208913{col 51}{space 1}    1.57{col 60}{space 3}0.118{col 68}{space 4}-.8720013{col 81}{space 3} 7.786777
{txt}{space 23}12  {c |}{col 28}{res}{space 2} 3.601796{col 40}{space 2} 1.835212{col 51}{space 1}    1.96{col 60}{space 3}0.050{col 68}{space 4} .0048461{col 81}{space 3} 7.198746
{txt}{space 23}13  {c |}{col 28}{res}{space 2} 2.973866{col 40}{space 2} 3.914068{col 51}{space 1}    0.76{col 60}{space 3}0.447{col 68}{space 4}-4.697565{col 81}{space 3}  10.6453
{txt}{space 23}14  {c |}{col 28}{res}{space 2} 2.799367{col 40}{space 2} 5.333664{col 51}{space 1}    0.52{col 60}{space 3}0.600{col 68}{space 4}-7.654422{col 81}{space 3} 13.25316
{txt}{space 23}15  {c |}{col 28}{res}{space 2} 2.961452{col 40}{space 2} 4.773303{col 51}{space 1}    0.62{col 60}{space 3}0.535{col 68}{space 4}-6.394049{col 81}{space 3} 12.31695
{txt}{space 23}16  {c |}{col 28}{res}{space 2} 1.935959{col 40}{space 2} 3.687888{col 51}{space 1}    0.52{col 60}{space 3}0.600{col 68}{space 4}-5.292167{col 81}{space 3} 9.164086
{txt}{space 23}17  {c |}{col 28}{res}{space 2}-2.375725{col 40}{space 2}  7.46285{col 51}{space 1}   -0.32{col 60}{space 3}0.750{col 68}{space 4}-17.00264{col 81}{space 3} 12.25119
{txt}{space 23}18  {c |}{col 28}{res}{space 2} 1.569678{col 40}{space 2} 5.839789{col 51}{space 1}    0.27{col 60}{space 3}0.788{col 68}{space 4}-9.876098{col 81}{space 3} 13.01545
{txt}{space 23}19  {c |}{col 28}{res}{space 2} 2.752252{col 40}{space 2} 4.950232{col 51}{space 1}    0.56{col 60}{space 3}0.578{col 68}{space 4}-6.950025{col 81}{space 3} 12.45453
{txt}{space 23}20  {c |}{col 28}{res}{space 2} 4.628949{col 40}{space 2} 1.028564{col 51}{space 1}    4.50{col 60}{space 3}0.000{col 68}{space 4} 2.613002{col 81}{space 3} 6.644897
{txt}{space 23}21  {c |}{col 28}{res}{space 2} 3.702129{col 40}{space 2} .9505334{col 51}{space 1}    3.89{col 60}{space 3}0.000{col 68}{space 4} 1.839117{col 81}{space 3}  5.56514
{txt}{space 23}22  {c |}{col 28}{res}{space 2} 2.362209{col 40}{space 2} 2.571541{col 51}{space 1}    0.92{col 60}{space 3}0.358{col 68}{space 4}-2.677919{col 81}{space 3} 7.402338
{txt}{space 23}23  {c |}{col 28}{res}{space 2} 3.121374{col 40}{space 2} 2.071708{col 51}{space 1}    1.51{col 60}{space 3}0.132{col 68}{space 4}   -.9391{col 81}{space 3} 7.181848
{txt}{space 23}24  {c |}{col 28}{res}{space 2} 1.955598{col 40}{space 2} 3.017913{col 51}{space 1}    0.65{col 60}{space 3}0.517{col 68}{space 4}-3.959403{col 81}{space 3}   7.8706
{txt}{space 23}25  {c |}{col 28}{res}{space 2} 1.210327{col 40}{space 2} 2.722593{col 51}{space 1}    0.44{col 60}{space 3}0.657{col 68}{space 4}-4.125858{col 81}{space 3} 6.546512
{txt}{space 23}26  {c |}{col 28}{res}{space 2}  1.34094{col 40}{space 2}  4.29876{col 51}{space 1}    0.31{col 60}{space 3}0.755{col 68}{space 4}-7.084474{col 81}{space 3} 9.766355
{txt}{space 23}27  {c |}{col 28}{res}{space 2} 4.483994{col 40}{space 2} 1.470177{col 51}{space 1}    3.05{col 60}{space 3}0.002{col 68}{space 4}   1.6025{col 81}{space 3} 7.365489
{txt}{space 23}28  {c |}{col 28}{res}{space 2} .3908606{col 40}{space 2} 11.91183{col 51}{space 1}    0.03{col 60}{space 3}0.974{col 68}{space 4}-22.95589{col 81}{space 3} 23.73761
{txt}{space 23}29  {c |}{col 28}{res}{space 2}-2.111171{col 40}{space 2}  21.3332{col 51}{space 1}   -0.10{col 60}{space 3}0.921{col 68}{space 4}-43.92348{col 81}{space 3} 39.70113
{txt}{space 23}30  {c |}{col 28}{res}{space 2}-3.936393{col 40}{space 2}   29.087{col 51}{space 1}   -0.14{col 60}{space 3}0.892{col 68}{space 4}-60.94587{col 81}{space 3} 53.07309
{txt}{space 23}31  {c |}{col 28}{res}{space 2} 4.071982{col 40}{space 2} 3.536446{col 51}{space 1}    1.15{col 60}{space 3}0.250{col 68}{space 4}-2.859325{col 81}{space 3} 11.00329
{txt}{space 23}32  {c |}{col 28}{res}{space 2} 5.144589{col 40}{space 2} 1.424204{col 51}{space 1}    3.61{col 60}{space 3}0.000{col 68}{space 4}   2.3532{col 81}{space 3} 7.935977
{txt}{space 23}33  {c |}{col 28}{res}{space 2} 2.716363{col 40}{space 2} .7610146{col 51}{space 1}    3.57{col 60}{space 3}0.000{col 68}{space 4} 1.224801{col 81}{space 3} 4.207924
{txt}{space 23}34  {c |}{col 28}{res}{space 2} 2.570815{col 40}{space 2} 2.835761{col 51}{space 1}    0.91{col 60}{space 3}0.365{col 68}{space 4}-2.987175{col 81}{space 3} 8.128806
{txt}{space 23}35  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}36  {c |}{col 28}{res}{space 2} 4.921642{col 40}{space 2} 2.280101{col 51}{space 1}    2.16{col 60}{space 3}0.031{col 68}{space 4} .4527259{col 81}{space 3} 9.390558
{txt}{space 23}37  {c |}{col 28}{res}{space 2} 3.491966{col 40}{space 2} 1.552859{col 51}{space 1}    2.25{col 60}{space 3}0.025{col 68}{space 4} .4484191{col 81}{space 3} 6.535514
{txt}{space 23}38  {c |}{col 28}{res}{space 2} 4.194816{col 40}{space 2} 1.239967{col 51}{space 1}    3.38{col 60}{space 3}0.001{col 68}{space 4} 1.764524{col 81}{space 3} 6.625107
{txt}{space 23}39  {c |}{col 28}{res}{space 2} 5.104696{col 40}{space 2}  1.12298{col 51}{space 1}    4.55{col 60}{space 3}0.000{col 68}{space 4} 2.903696{col 81}{space 3} 7.305695
{txt}{space 23}40  {c |}{col 28}{res}{space 2} 4.118802{col 40}{space 2} 1.605041{col 51}{space 1}    2.57{col 60}{space 3}0.010{col 68}{space 4}   .97298{col 81}{space 3} 7.264624
{txt}{space 23}41  {c |}{col 28}{res}{space 2} 3.099643{col 40}{space 2} 1.081538{col 51}{space 1}    2.87{col 60}{space 3}0.004{col 68}{space 4}  .979867{col 81}{space 3} 5.219419
{txt}{space 23}42  {c |}{col 28}{res}{space 2} 1.864796{col 40}{space 2} 1.703799{col 51}{space 1}    1.09{col 60}{space 3}0.274{col 68}{space 4}-1.474589{col 81}{space 3} 5.204182
{txt}{space 23}43  {c |}{col 28}{res}{space 2} 3.771313{col 40}{space 2} 1.709711{col 51}{space 1}    2.21{col 60}{space 3}0.027{col 68}{space 4} .4203416{col 81}{space 3} 7.122285
{txt}{space 23}44  {c |}{col 28}{res}{space 2} 2.841425{col 40}{space 2} 1.411975{col 51}{space 1}    2.01{col 60}{space 3}0.044{col 68}{space 4} .0740049{col 81}{space 3} 5.608845
{txt}{space 23}45  {c |}{col 28}{res}{space 2} 4.306963{col 40}{space 2} 1.297468{col 51}{space 1}    3.32{col 60}{space 3}0.001{col 68}{space 4} 1.763973{col 81}{space 3} 6.849952
{txt}{space 23}46  {c |}{col 28}{res}{space 2} 2.648476{col 40}{space 2} 1.132243{col 51}{space 1}    2.34{col 60}{space 3}0.019{col 68}{space 4} .4293194{col 81}{space 3} 4.867632
{txt}{space 23}47  {c |}{col 28}{res}{space 2} 4.637511{col 40}{space 2} 1.822576{col 51}{space 1}    2.54{col 60}{space 3}0.011{col 68}{space 4} 1.065329{col 81}{space 3} 8.209694
{txt}{space 23}48  {c |}{col 28}{res}{space 2} 3.181708{col 40}{space 2} .9561127{col 51}{space 1}    3.33{col 60}{space 3}0.001{col 68}{space 4} 1.307762{col 81}{space 3} 5.055655
{txt}{space 23}49  {c |}{col 28}{res}{space 2} 2.872913{col 40}{space 2} 1.835079{col 51}{space 1}    1.57{col 60}{space 3}0.117{col 68}{space 4}-.7237771{col 81}{space 3} 6.469602
{txt}{space 23}50  {c |}{col 28}{res}{space 2} .7448276{col 40}{space 2} 1.222173{col 51}{space 1}    0.61{col 60}{space 3}0.542{col 68}{space 4}-1.650588{col 81}{space 3} 3.140244
{txt}{space 23}51  {c |}{col 28}{res}{space 2} 2.600583{col 40}{space 2} .9612137{col 51}{space 1}    2.71{col 60}{space 3}0.007{col 68}{space 4} .7166387{col 81}{space 3} 4.484527
{txt}{space 23}52  {c |}{col 28}{res}{space 2} 1.460693{col 40}{space 2} 1.589233{col 51}{space 1}    0.92{col 60}{space 3}0.358{col 68}{space 4}-1.654147{col 81}{space 3} 4.575533
{txt}{space 23}53  {c |}{col 28}{res}{space 2} .3334295{col 40}{space 2} .9123739{col 51}{space 1}    0.37{col 60}{space 3}0.715{col 68}{space 4}-1.454791{col 81}{space 3}  2.12165
{txt}{space 23}54  {c |}{col 28}{res}{space 2} 1.040276{col 40}{space 2} 1.749454{col 51}{space 1}    0.59{col 60}{space 3}0.552{col 68}{space 4} -2.38859{col 81}{space 3} 4.469143
{txt}{space 23}55  {c |}{col 28}{res}{space 2} .1584558{col 40}{space 2} 1.074873{col 51}{space 1}    0.15{col 60}{space 3}0.883{col 68}{space 4}-1.948257{col 81}{space 3} 2.265169
{txt}{space 23}56  {c |}{col 28}{res}{space 2}  1.13951{col 40}{space 2} 1.015463{col 51}{space 1}    1.12{col 60}{space 3}0.262{col 68}{space 4}-.8507598{col 81}{space 3}  3.12978
{txt}{space 23}57  {c |}{col 28}{res}{space 2} 2.755633{col 40}{space 2}  .944764{col 51}{space 1}    2.92{col 60}{space 3}0.004{col 68}{space 4} .9039301{col 81}{space 3} 4.607337
{txt}{space 23}58  {c |}{col 28}{res}{space 2} .1571597{col 40}{space 2} 1.765164{col 51}{space 1}    0.09{col 60}{space 3}0.929{col 68}{space 4}-3.302499{col 81}{space 3} 3.616819
{txt}{space 23}59  {c |}{col 28}{res}{space 2} .7364348{col 40}{space 2} .8673692{col 51}{space 1}    0.85{col 60}{space 3}0.396{col 68}{space 4}-.9635775{col 81}{space 3} 2.436447
{txt}{space 23}60  {c |}{col 28}{res}{space 2}-.3038866{col 40}{space 2} .6723713{col 51}{space 1}   -0.45{col 60}{space 3}0.651{col 68}{space 4} -1.62171{col 81}{space 3} 1.013937
{txt}{space 23}61  {c |}{col 28}{res}{space 2}-.2641825{col 40}{space 2} .6226386{col 51}{space 1}   -0.42{col 60}{space 3}0.671{col 68}{space 4}-1.484532{col 81}{space 3} .9561668
{txt}{space 23}62  {c |}{col 28}{res}{space 2} .5193063{col 40}{space 2} 1.890137{col 51}{space 1}    0.27{col 60}{space 3}0.784{col 68}{space 4}-3.185295{col 81}{space 3} 4.223907
{txt}{space 23}63  {c |}{col 28}{res}{space 2}-.3380707{col 40}{space 2} .6204668{col 51}{space 1}   -0.54{col 60}{space 3}0.586{col 68}{space 4}-1.554163{col 81}{space 3} .8780218
{txt}{space 23}64  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}65  {c |}{col 28}{res}{space 2} .9718307{col 40}{space 2} .7103909{col 51}{space 1}    1.37{col 60}{space 3}0.171{col 68}{space 4}-.4205099{col 81}{space 3} 2.364171
{txt}{space 23}66  {c |}{col 28}{res}{space 2}-.9392931{col 40}{space 2}  1.31413{col 51}{space 1}   -0.71{col 60}{space 3}0.475{col 68}{space 4} -3.51494{col 81}{space 3} 1.636354
{txt}{space 23}67  {c |}{col 28}{res}{space 2} .3153247{col 40}{space 2} .8789944{col 51}{space 1}    0.36{col 60}{space 3}0.720{col 68}{space 4}-1.407473{col 81}{space 3} 2.038122
{txt}{space 23}68  {c |}{col 28}{res}{space 2}-1.000747{col 40}{space 2} .6668615{col 51}{space 1}   -1.50{col 60}{space 3}0.133{col 68}{space 4}-2.307771{col 81}{space 3}  .306278
{txt}{space 23}69  {c |}{col 28}{res}{space 2} .0339185{col 40}{space 2} .6380496{col 51}{space 1}    0.05{col 60}{space 3}0.958{col 68}{space 4}-1.216636{col 81}{space 3} 1.284473
{txt}{space 23}70  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}71  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}72  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}73  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}74  {c |}{col 28}{res}{space 2}-.1926285{col 40}{space 2} .7141558{col 51}{space 1}   -0.27{col 60}{space 3}0.787{col 68}{space 4}-1.592348{col 81}{space 3} 1.207091
{txt}{space 23}75  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2} 9.234087{col 40}{space 2} 2.813249{col 51}{space 1}    3.28{col 60}{space 3}0.001{col 68}{space 4}  3.72022{col 81}{space 3} 14.74795
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 21}/ln_r {c |}{col 28}{res}{space 2} .2501824{col 40}{space 2} .1960776{col 68}{space 4}-.1341226{col 81}{space 3} .6344874
{txt}{space 21}/ln_s {c |}{col 28}{res}{space 2} 2.474141{col 40}{space 2} .2774913{col 68}{space 4} 1.930268{col 81}{space 3} 3.018014
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                         r {c |}{col 28}{res}{space 2}  1.28426{col 40}{space 2} .2518145{col 68}{space 4} .8744829{col 81}{space 3} 1.886055
{txt}                         s {c |}{col 28}{res}{space 2} 11.87151{col 40}{space 2} 3.294241{col 68}{space 4}  6.89136{col 81}{space 3} 20.45065
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{txt}LR test vs. pooled: {help j_chibar##|_new:chibar2(01) = }{res}180.16{col 56}{txt}Prob >= chibar2 = {res}0.000
{txt}
{com}. margins, atmeans at(ln_cum_maoist_victims =(0(.5)5.5))
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       825
{txt}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:lag_crimin~s}{space 4}{txt:=} {space 3}386.5491 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_mao~s}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 3}.3939394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:lag_crimin~s}{space 4}{txt:=} {space 3}386.5491 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_mao~s}{space 4}{txt:=} {space 9}.5}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 3}.3939394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:lag_crimin~s}{space 4}{txt:=} {space 3}386.5491 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_mao~s}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 3}.3939394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:lag_crimin~s}{space 4}{txt:=} {space 3}386.5491 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_mao~s}{space 4}{txt:=} {space 8}1.5}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 3}.3939394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:lag_crimin~s}{space 4}{txt:=} {space 3}386.5491 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_mao~s}{space 4}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 3}.3939394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:lag_crimin~s}{space 4}{txt:=} {space 3}386.5491 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_mao~s}{space 4}{txt:=} {space 8}2.5}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 3}.3939394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:lag_crimin~s}{space 4}{txt:=} {space 3}386.5491 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_mao~s}{space 4}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 3}.3939394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:lag_crimin~s}{space 4}{txt:=} {space 3}386.5491 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_mao~s}{space 4}{txt:=} {space 8}3.5}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 3}.3939394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:lag_crimin~s}{space 4}{txt:=} {space 3}386.5491 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_mao~s}{space 4}{txt:=} {space 10}4}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 3}.3939394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:lag_crimin~s}{space 4}{txt:=} {space 3}386.5491 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_mao~s}{space 4}{txt:=} {space 8}4.5}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 3}.3939394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:lag_crimin~s}{space 4}{txt:=} {space 3}386.5491 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_mao~s}{space 4}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 3}.3939394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:lag_crimin~s}{space 4}{txt:=} {space 3}386.5491 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_cum_mao~s}{space 4}{txt:=} {space 8}5.5}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:peoples_go~e}{space 4}{txt:=} {space 3}.3939394 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ln_pop}{space 10}{txt:=} {space 3}12.38775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:percent_vo~P}{space 4}{txt:=} {space 2}-.3576044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:litrate_19~P}{space 4}{txt:=} {space 3}1.48e-06 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:road_densi~P}{space 4}{txt:=} {space 3}3.23e-08 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:year2002}{space 8}{txt:=} {space 3}.4545455 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:hilli_region}{space 4}{txt:=} {space 3}.5333333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mountain_r~n}{space 4}{txt:=} {space 3}.1733333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_east}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_mid}{space 6}{txt:=} {space 3}.2533333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_west}{space 5}{txt:=} {space 3}.2133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:region_far~t}{space 4}{txt:=} {space 8}.12 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:8.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.sno}{space 11}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:12.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:13.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:14.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:15.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:18.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:19.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:20.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:21.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:22.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:23.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:24.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:25.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:26.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:27.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:28.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:29.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:30.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:31.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:32.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:33.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:34.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:35.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:36.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:37.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:38.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:39.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:40.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:41.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:42.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:43.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:44.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:45.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:46.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:47.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:48.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:49.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:50.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:51.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:52.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:53.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:54.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:55.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:56.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:57.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:58.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:59.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:60.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:61.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:62.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:63.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:64.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:65.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:66.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:67.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:68.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:69.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:70.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:71.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:72.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:73.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:74.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:75.sno}{space 10}{txt:=} {space 3}.0133333 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 2.794173{col 26}{space 2} .0680332{col 37}{space 1}   41.07{col 46}{space 3}0.000{col 54}{space 4}  2.66083{col 67}{space 3} 2.927516
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 2.744142{col 26}{space 2} .0651703{col 37}{space 1}   42.11{col 46}{space 3}0.000{col 54}{space 4}  2.61641{col 67}{space 3} 2.871873
{txt}{space 10}3  {c |}{col 14}{res}{space 2}  2.69411{col 26}{space 2} .0629797{col 37}{space 1}   42.78{col 46}{space 3}0.000{col 54}{space 4} 2.570672{col 67}{space 3} 2.817548
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 2.644079{col 26}{space 2} .0615336{col 37}{space 1}   42.97{col 46}{space 3}0.000{col 54}{space 4} 2.523475{col 67}{space 3} 2.764682
{txt}{space 10}5  {c |}{col 14}{res}{space 2} 2.594047{col 26}{space 2} .0608848{col 37}{space 1}   42.61{col 46}{space 3}0.000{col 54}{space 4} 2.474715{col 67}{space 3} 2.713379
{txt}{space 10}6  {c |}{col 14}{res}{space 2} 2.544016{col 26}{space 2} .0610589{col 37}{space 1}   41.66{col 46}{space 3}0.000{col 54}{space 4} 2.424342{col 67}{space 3} 2.663689
{txt}{space 10}7  {c |}{col 14}{res}{space 2} 2.493984{col 26}{space 2} .0620488{col 37}{space 1}   40.19{col 46}{space 3}0.000{col 54}{space 4} 2.372371{col 67}{space 3} 2.615598
{txt}{space 10}8  {c |}{col 14}{res}{space 2} 2.443953{col 26}{space 2} .0638167{col 37}{space 1}   38.30{col 46}{space 3}0.000{col 54}{space 4} 2.318874{col 67}{space 3} 2.569031
{txt}{space 10}9  {c |}{col 14}{res}{space 2} 2.393921{col 26}{space 2} .0663004{col 37}{space 1}   36.11{col 46}{space 3}0.000{col 54}{space 4} 2.263975{col 67}{space 3} 2.523868
{txt}{space 9}10  {c |}{col 14}{res}{space 2}  2.34389{col 26}{space 2}  .069423{col 37}{space 1}   33.76{col 46}{space 3}0.000{col 54}{space 4} 2.207823{col 67}{space 3} 2.479956
{txt}{space 9}11  {c |}{col 14}{res}{space 2} 2.293858{col 26}{space 2} .0731027{col 37}{space 1}   31.38{col 46}{space 3}0.000{col 54}{space 4}  2.15058{col 67}{space 3} 2.437137
{txt}{space 9}12  {c |}{col 14}{res}{space 2} 2.243827{col 26}{space 2}   .07726{col 37}{space 1}   29.04{col 46}{space 3}0.000{col 54}{space 4}   2.0924{col 67}{space 3} 2.395254
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, addplot(hist ln_cum_maoist_victims)
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: ln_cum_maoist_victims{p_end}
{res}{txt}
{com}.  ///////////////////
>  
.  
. //Total Cases
. 
. xtnbreg total_court_cases lag_total_cases ln_cum_state_victims peoples_govt_active ln_pop percent_votes1991_1999_GAP    ///
> litrate_1991_2001_GAP road_density_GAP year2002 hilli_region mountain_region region_east region_mid region_west region_farwest i.sno if year>1995 & year<2007 
{txt}note: 35.sno omitted because of collinearity
note: 64.sno omitted because of collinearity
note: 70.sno omitted because of collinearity
note: 71.sno omitted because of collinearity
note: 72.sno omitted because of collinearity
note: 73.sno omitted because of collinearity
note: 75.sno omitted because of collinearity

Fitting negative binomial (constant dispersion) model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-2411226.8}  
Iteration 1:{space 3}log likelihood = {res:-959406.89}  
Iteration 2:{space 3}log likelihood = {res:-348845.95}  
Iteration 3:{space 3}log likelihood = {res:-36352.316}  
Iteration 4:{space 3}log likelihood = {res:-20428.043}  
Iteration 5:{space 3}log likelihood = {res:-20207.855}  
Iteration 6:{space 3}log likelihood = {res: -20207.81}  
Iteration 7:{space 3}log likelihood = {res: -20207.81}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-299668.31}  
Iteration 1:{space 3}log likelihood = {res:-17080.989}  
Iteration 2:{space 3}log likelihood = {res:-7903.8285}  (backed up)
Iteration 3:{space 3}log likelihood = {res:-6575.5695}  
Iteration 4:{space 3}log likelihood = {res:-6486.5743}  
Iteration 5:{space 3}log likelihood = {res:-6478.1043}  
Iteration 6:{space 3}log likelihood = {res:-6478.0828}  
Iteration 7:{space 3}log likelihood = {res:-6478.0828}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-6478.0828}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-6341.9149}  (not concave)
Iteration 2:{space 3}log likelihood = {res:-6132.3772}  (not concave)
Iteration 3:{space 3}log likelihood = {res:-5716.0805}  
Iteration 4:{space 3}log likelihood = {res: -5351.115}  (backed up)
Iteration 5:{space 3}log likelihood = {res:-5174.4431}  
Iteration 6:{space 3}log likelihood = {res:-5155.9937}  
Iteration 7:{space 3}log likelihood = {res:-5155.0221}  
Iteration 8:{space 3}log likelihood = {res:-5155.0185}  
Iteration 9:{space 3}log likelihood = {res:-5155.0185}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-12413.707}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-5946.1568}  (not concave)
Iteration 2:{space 3}log likelihood = {res:-5488.8158}  (not concave)
Iteration 3:{space 3}log likelihood = {res:-5356.2216}  (not concave)
Iteration 4:{space 3}log likelihood = {res:-5335.9166}  
Iteration 5:{space 3}log likelihood = {res:-5277.3105}  (not concave)
Iteration 6:{space 3}log likelihood = {res:-5240.9027}  
Iteration 7:{space 3}log likelihood = {res:-5200.3087}  (not concave)
Iteration 8:{space 3}log likelihood = {res:-5198.7457}  (not concave)
Iteration 9:{space 3}log likelihood = {res: -5198.432}  (not concave)
Iteration 10:{space 2}log likelihood = {res:-5198.1847}  (not concave)
Iteration 11:{space 2}log likelihood = {res:-5197.9657}  (not concave)
Iteration 12:{space 2}log likelihood = {res:-5197.7406}  (not concave)
Iteration 13:{space 2}log likelihood = {res:-5197.5695}  (not concave)
Iteration 14:{space 2}log likelihood = {res: -5197.414}  (not concave)
Iteration 15:{space 2}log likelihood = {res:-5197.2506}  (not concave)
Iteration 16:{space 2}log likelihood = {res:-5197.1099}  (not concave)
Iteration 17:{space 2}log likelihood = {res:-5196.9797}  (not concave)
Iteration 18:{space 2}log likelihood = {res:-5196.8483}  (not concave)
Iteration 19:{space 2}log likelihood = {res:-5196.7257}  (not concave)
Iteration 20:{space 2}log likelihood = {res:-5196.6102}  (not concave)
Iteration 21:{space 2}log likelihood = {res:-5196.4963}  (not concave)
Iteration 22:{space 2}log likelihood = {res:-5196.3857}  
Iteration 23:{space 2}log likelihood = {res:-5190.4443}  (backed up)
Iteration 24:{space 2}log likelihood = {res:-5187.6322}  
Iteration 25:{space 2}log likelihood = {res:-5187.5814}  
Iteration 26:{space 2}log likelihood = {res:-5187.5814}  
{res}
{txt}Random-effects negative binomial regression{col 49}Number of obs{col 67}={col 69}{res}       825
{txt}Group variable: {res}sno{col 49}{txt}Number of groups{col 67}={col 69}{res}        75

{txt}Random effects u_i ~ {res}Beta{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        11
{txt}{col 63}avg{col 67}={col 69}{res}      11.0
{txt}{col 63}max{col 67}={col 69}{res}        11

{txt}{col 49}Wald chi2({res}81{txt}){col 67}={col 70}{res}  2251.35
{txt}Log likelihood  = {res}-5187.5814{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         total_court_cases{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}lag_total_cases {c |}{col 28}{res}{space 2} .0000924{col 40}{space 2} .0000232{col 51}{space 1}    3.99{col 60}{space 3}0.000{col 68}{space 4}  .000047{col 81}{space 3} .0001379
{txt}{space 6}ln_cum_state_victims {c |}{col 28}{res}{space 2}-.1005519{col 40}{space 2} .0120051{col 51}{space 1}   -8.38{col 60}{space 3}0.000{col 68}{space 4}-.1240814{col 81}{space 3}-.0770224
{txt}{space 7}peoples_govt_active {c |}{col 28}{res}{space 2}-.2135782{col 40}{space 2} .0320825{col 51}{space 1}   -6.66{col 60}{space 3}0.000{col 68}{space 4}-.2764586{col 81}{space 3}-.1506977
{txt}{space 20}ln_pop {c |}{col 28}{res}{space 2} .2653448{col 40}{space 2} .2125154{col 51}{space 1}    1.25{col 60}{space 3}0.212{col 68}{space 4}-.1511777{col 81}{space 3} .6818672
{txt}percent_votes1991_1999_GAP {c |}{col 28}{res}{space 2} .0041144{col 40}{space 2} .0045485{col 51}{space 1}    0.90{col 60}{space 3}0.366{col 68}{space 4}-.0048004{col 81}{space 3} .0130293
{txt}{space 5}litrate_1991_2001_GAP {c |}{col 28}{res}{space 2} .0072251{col 40}{space 2} .0035785{col 51}{space 1}    2.02{col 60}{space 3}0.043{col 68}{space 4} .0002115{col 81}{space 3} .0142388
{txt}{space 10}road_density_GAP {c |}{col 28}{res}{space 2}-19.35732{col 40}{space 2} 13.63059{col 51}{space 1}   -1.42{col 60}{space 3}0.156{col 68}{space 4}-46.07279{col 81}{space 3} 7.358139
{txt}{space 18}year2002 {c |}{col 28}{res}{space 2} .0842668{col 40}{space 2} .0379023{col 51}{space 1}    2.22{col 60}{space 3}0.026{col 68}{space 4} .0099797{col 81}{space 3} .1585538
{txt}{space 14}hilli_region {c |}{col 28}{res}{space 2}-2.249254{col 40}{space 2} .5602084{col 51}{space 1}   -4.02{col 60}{space 3}0.000{col 68}{space 4}-3.347242{col 81}{space 3}-1.151265
{txt}{space 11}mountain_region {c |}{col 28}{res}{space 2}-4.070281{col 40}{space 2} 1.776267{col 51}{space 1}   -2.29{col 60}{space 3}0.022{col 68}{space 4}  -7.5517{col 81}{space 3}-.5888629
{txt}{space 15}region_east {c |}{col 28}{res}{space 2} 4.962903{col 40}{space 2} 3.438406{col 51}{space 1}    1.44{col 60}{space 3}0.149{col 68}{space 4}-1.776248{col 81}{space 3} 11.70206
{txt}{space 16}region_mid {c |}{col 28}{res}{space 2} -1.98041{col 40}{space 2} 1.150522{col 51}{space 1}   -1.72{col 60}{space 3}0.085{col 68}{space 4}-4.235392{col 81}{space 3} .2745716
{txt}{space 15}region_west {c |}{col 28}{res}{space 2}-.2952046{col 40}{space 2} .6617205{col 51}{space 1}   -0.45{col 60}{space 3}0.656{col 68}{space 4}-1.592153{col 81}{space 3} 1.001744
{txt}{space 12}region_farwest {c |}{col 28}{res}{space 2} 1.907983{col 40}{space 2} .6972592{col 51}{space 1}    2.74{col 60}{space 3}0.006{col 68}{space 4} .5413798{col 81}{space 3} 3.274586
{txt}{space 26} {c |}
{space 23}sno {c |}
{space 24}2  {c |}{col 28}{res}{space 2}-1.206566{col 40}{space 2} 2.076529{col 51}{space 1}   -0.58{col 60}{space 3}0.561{col 68}{space 4}-5.276488{col 81}{space 3} 2.863356
{txt}{space 24}3  {c |}{col 28}{res}{space 2}-2.613474{col 40}{space 2} 3.100761{col 51}{space 1}   -0.84{col 60}{space 3}0.399{col 68}{space 4}-8.690854{col 81}{space 3} 3.463907
{txt}{space 24}4  {c |}{col 28}{res}{space 2}-3.026424{col 40}{space 2} 3.317725{col 51}{space 1}   -0.91{col 60}{space 3}0.362{col 68}{space 4}-9.529046{col 81}{space 3} 3.476198
{txt}{space 24}5  {c |}{col 28}{res}{space 2}-.7590781{col 40}{space 2} .5824889{col 51}{space 1}   -1.30{col 60}{space 3}0.193{col 68}{space 4}-1.900735{col 81}{space 3}  .382579
{txt}{space 24}6  {c |}{col 28}{res}{space 2} .9881156{col 40}{space 2} .5885334{col 51}{space 1}    1.68{col 60}{space 3}0.093{col 68}{space 4}-.1653887{col 81}{space 3}  2.14162
{txt}{space 24}7  {c |}{col 28}{res}{space 2}-.4574823{col 40}{space 2} 2.077444{col 51}{space 1}   -0.22{col 60}{space 3}0.826{col 68}{space 4}-4.529198{col 81}{space 3} 3.614234
{txt}{space 24}8  {c |}{col 28}{res}{space 2}-4.246955{col 40}{space 2} 4.039823{col 51}{space 1}   -1.05{col 60}{space 3}0.293{col 68}{space 4}-12.16486{col 81}{space 3} 3.670952
{txt}{space 24}9  {c |}{col 28}{res}{space 2} -5.82916{col 40}{space 2} 4.953805{col 51}{space 1}   -1.18{col 60}{space 3}0.239{col 68}{space 4}-15.53844{col 81}{space 3} 3.880119
{txt}{space 23}10  {c |}{col 28}{res}{space 2}-4.250443{col 40}{space 2} 3.313141{col 51}{space 1}   -1.28{col 60}{space 3}0.200{col 68}{space 4}-10.74408{col 81}{space 3} 2.243194
{txt}{space 23}11  {c |}{col 28}{res}{space 2}-2.665175{col 40}{space 2} 2.037096{col 51}{space 1}   -1.31{col 60}{space 3}0.191{col 68}{space 4}-6.657809{col 81}{space 3} 1.327459
{txt}{space 23}12  {c |}{col 28}{res}{space 2}-1.698233{col 40}{space 2} 1.712644{col 51}{space 1}   -0.99{col 60}{space 3}0.321{col 68}{space 4}-5.054954{col 81}{space 3} 1.658487
{txt}{space 23}13  {c |}{col 28}{res}{space 2}-3.166176{col 40}{space 2} 3.667764{col 51}{space 1}   -0.86{col 60}{space 3}0.388{col 68}{space 4}-10.35486{col 81}{space 3}  4.02251
{txt}{space 23}14  {c |}{col 28}{res}{space 2}-5.806509{col 40}{space 2}   4.9867{col 51}{space 1}   -1.16{col 60}{space 3}0.244{col 68}{space 4}-15.58026{col 81}{space 3} 3.967243
{txt}{space 23}15  {c |}{col 28}{res}{space 2}-4.611882{col 40}{space 2} 4.467368{col 51}{space 1}   -1.03{col 60}{space 3}0.302{col 68}{space 4}-13.36776{col 81}{space 3} 4.143999
{txt}{space 23}16  {c |}{col 28}{res}{space 2}  -4.8508{col 40}{space 2}  3.44887{col 51}{space 1}   -1.41{col 60}{space 3}0.160{col 68}{space 4}-11.61046{col 81}{space 3} 1.908861
{txt}{space 23}17  {c |}{col 28}{res}{space 2} 10.99118{col 40}{space 2} 6.942831{col 51}{space 1}    1.58{col 60}{space 3}0.113{col 68}{space 4}-2.616521{col 81}{space 3} 24.59888
{txt}{space 23}18  {c |}{col 28}{res}{space 2} 8.843851{col 40}{space 2} 5.429159{col 51}{space 1}    1.63{col 60}{space 3}0.103{col 68}{space 4}-1.797105{col 81}{space 3} 19.48481
{txt}{space 23}19  {c |}{col 28}{res}{space 2} 8.885897{col 40}{space 2} 4.599592{col 51}{space 1}    1.93{col 60}{space 3}0.053{col 68}{space 4}-.1291373{col 81}{space 3} 17.90093
{txt}{space 23}20  {c |}{col 28}{res}{space 2} 3.360607{col 40}{space 2} .9913464{col 51}{space 1}    3.39{col 60}{space 3}0.001{col 68}{space 4} 1.417604{col 81}{space 3}  5.30361
{txt}{space 23}21  {c |}{col 28}{res}{space 2} 2.663923{col 40}{space 2} .9169196{col 51}{space 1}    2.91{col 60}{space 3}0.004{col 68}{space 4} .8667937{col 81}{space 3} 4.461053
{txt}{space 23}22  {c |}{col 28}{res}{space 2} 4.243499{col 40}{space 2} 2.389991{col 51}{space 1}    1.78{col 60}{space 3}0.076{col 68}{space 4}-.4407974{col 81}{space 3} 8.927796
{txt}{space 23}23  {c |}{col 28}{res}{space 2} 4.287263{col 40}{space 2}  1.91246{col 51}{space 1}    2.24{col 60}{space 3}0.025{col 68}{space 4} .5389114{col 81}{space 3} 8.035615
{txt}{space 23}24  {c |}{col 28}{res}{space 2} 5.164476{col 40}{space 2} 2.788581{col 51}{space 1}    1.85{col 60}{space 3}0.064{col 68}{space 4}-.3010428{col 81}{space 3} 10.62999
{txt}{space 23}25  {c |}{col 28}{res}{space 2} 4.781189{col 40}{space 2} 2.517316{col 51}{space 1}    1.90{col 60}{space 3}0.058{col 68}{space 4}-.1526592{col 81}{space 3} 9.715037
{txt}{space 23}26  {c |}{col 28}{res}{space 2} 7.119981{col 40}{space 2} 3.982672{col 51}{space 1}    1.79{col 60}{space 3}0.074{col 68}{space 4}-.6859132{col 81}{space 3} 14.92587
{txt}{space 23}27  {c |}{col 28}{res}{space 2} 5.293392{col 40}{space 2} 1.377978{col 51}{space 1}    3.84{col 60}{space 3}0.000{col 68}{space 4} 2.592605{col 81}{space 3} 7.994178
{txt}{space 23}28  {c |}{col 28}{res}{space 2} 19.28541{col 40}{space 2} 11.09688{col 51}{space 1}    1.74{col 60}{space 3}0.082{col 68}{space 4}-2.464075{col 81}{space 3}  41.0349
{txt}{space 23}29  {c |}{col 28}{res}{space 2} 31.18074{col 40}{space 2} 19.89266{col 51}{space 1}    1.57{col 60}{space 3}0.117{col 68}{space 4}-7.808153{col 81}{space 3} 70.16964
{txt}{space 23}30  {c |}{col 28}{res}{space 2} 41.29689{col 40}{space 2} 27.16606{col 51}{space 1}    1.52{col 60}{space 3}0.128{col 68}{space 4}-11.94762{col 81}{space 3}  94.5414
{txt}{space 23}31  {c |}{col 28}{res}{space 2} 9.161451{col 40}{space 2} 3.293814{col 51}{space 1}    2.78{col 60}{space 3}0.005{col 68}{space 4} 2.705694{col 81}{space 3} 15.61721
{txt}{space 23}32  {c |}{col 28}{res}{space 2} 5.400077{col 40}{space 2} 1.333516{col 51}{space 1}    4.05{col 60}{space 3}0.000{col 68}{space 4} 2.786433{col 81}{space 3} 8.013721
{txt}{space 23}33  {c |}{col 28}{res}{space 2} 1.487156{col 40}{space 2} .7235524{col 51}{space 1}    2.06{col 60}{space 3}0.040{col 68}{space 4} .0690196{col 81}{space 3} 2.905293
{txt}{space 23}34  {c |}{col 28}{res}{space 2} 6.464019{col 40}{space 2} 2.623732{col 51}{space 1}    2.46{col 60}{space 3}0.014{col 68}{space 4} 1.321598{col 81}{space 3} 11.60644
{txt}{space 23}35  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}36  {c |}{col 28}{res}{space 2} 6.909096{col 40}{space 2} 2.114113{col 51}{space 1}    3.27{col 60}{space 3}0.001{col 68}{space 4}  2.76551{col 81}{space 3} 11.05268
{txt}{space 23}37  {c |}{col 28}{res}{space 2} .9214449{col 40}{space 2}  1.50289{col 51}{space 1}    0.61{col 60}{space 3}0.540{col 68}{space 4}-2.024165{col 81}{space 3} 3.867055
{txt}{space 23}38  {c |}{col 28}{res}{space 2} 2.196525{col 40}{space 2} 1.189034{col 51}{space 1}    1.85{col 60}{space 3}0.065{col 68}{space 4}-.1339391{col 81}{space 3} 4.526988
{txt}{space 23}39  {c |}{col 28}{res}{space 2} 2.392661{col 40}{space 2} 1.106143{col 51}{space 1}    2.16{col 60}{space 3}0.031{col 68}{space 4} .2246604{col 81}{space 3} 4.560662
{txt}{space 23}40  {c |}{col 28}{res}{space 2} 5.070199{col 40}{space 2} 1.484445{col 51}{space 1}    3.42{col 60}{space 3}0.001{col 68}{space 4} 2.160741{col 81}{space 3} 7.979657
{txt}{space 23}41  {c |}{col 28}{res}{space 2} 1.118783{col 40}{space 2} 1.039077{col 51}{space 1}    1.08{col 60}{space 3}0.282{col 68}{space 4}-.9177714{col 81}{space 3} 3.155337
{txt}{space 23}42  {c |}{col 28}{res}{space 2} 1.826828{col 40}{space 2} 1.596507{col 51}{space 1}    1.14{col 60}{space 3}0.253{col 68}{space 4}-1.302269{col 81}{space 3} 4.955924
{txt}{space 23}43  {c |}{col 28}{res}{space 2} 5.086715{col 40}{space 2} 1.581278{col 51}{space 1}    3.22{col 60}{space 3}0.001{col 68}{space 4} 1.987468{col 81}{space 3} 8.185962
{txt}{space 23}44  {c |}{col 28}{res}{space 2} 1.789254{col 40}{space 2}  1.31689{col 51}{space 1}    1.36{col 60}{space 3}0.174{col 68}{space 4}-.7918027{col 81}{space 3}  4.37031
{txt}{space 23}45  {c |}{col 28}{res}{space 2} 4.425319{col 40}{space 2} 1.192346{col 51}{space 1}    3.71{col 60}{space 3}0.000{col 68}{space 4} 2.088364{col 81}{space 3} 6.762273
{txt}{space 23}46  {c |}{col 28}{res}{space 2} 2.513172{col 40}{space 2} 1.057339{col 51}{space 1}    2.38{col 60}{space 3}0.017{col 68}{space 4} .4408266{col 81}{space 3} 4.585517
{txt}{space 23}47  {c |}{col 28}{res}{space 2} .8220422{col 40}{space 2} 1.765474{col 51}{space 1}    0.47{col 60}{space 3}0.641{col 68}{space 4}-2.638222{col 81}{space 3} 4.282307
{txt}{space 23}48  {c |}{col 28}{res}{space 2} 2.683881{col 40}{space 2} .9237518{col 51}{space 1}    2.91{col 60}{space 3}0.004{col 68}{space 4} .8733605{col 81}{space 3} 4.494401
{txt}{space 23}49  {c |}{col 28}{res}{space 2}-.1177845{col 40}{space 2} 1.772806{col 51}{space 1}   -0.07{col 60}{space 3}0.947{col 68}{space 4} -3.59242{col 81}{space 3} 3.356851
{txt}{space 23}50  {c |}{col 28}{res}{space 2} 1.772023{col 40}{space 2} 1.149026{col 51}{space 1}    1.54{col 60}{space 3}0.123{col 68}{space 4}-.4800266{col 81}{space 3} 4.024073
{txt}{space 23}51  {c |}{col 28}{res}{space 2} 3.133388{col 40}{space 2} .8865943{col 51}{space 1}    3.53{col 60}{space 3}0.000{col 68}{space 4} 1.395695{col 81}{space 3} 4.871081
{txt}{space 23}52  {c |}{col 28}{res}{space 2}-.7966135{col 40}{space 2} 1.475281{col 51}{space 1}   -0.54{col 60}{space 3}0.589{col 68}{space 4}-3.688111{col 81}{space 3} 2.094884
{txt}{space 23}53  {c |}{col 28}{res}{space 2} 1.382808{col 40}{space 2} .8439456{col 51}{space 1}    1.64{col 60}{space 3}0.101{col 68}{space 4}-.2712955{col 81}{space 3} 3.036911
{txt}{space 23}54  {c |}{col 28}{res}{space 2}-1.289862{col 40}{space 2}  1.63278{col 51}{space 1}   -0.79{col 60}{space 3}0.430{col 68}{space 4}-4.490051{col 81}{space 3} 1.910328
{txt}{space 23}55  {c |}{col 28}{res}{space 2} 1.171325{col 40}{space 2} 1.003345{col 51}{space 1}    1.17{col 60}{space 3}0.243{col 68}{space 4}-.7951951{col 81}{space 3} 3.137845
{txt}{space 23}56  {c |}{col 28}{res}{space 2} .6476022{col 40}{space 2} .9353046{col 51}{space 1}    0.69{col 60}{space 3}0.489{col 68}{space 4}-1.185561{col 81}{space 3} 2.480765
{txt}{space 23}57  {c |}{col 28}{res}{space 2} 3.827161{col 40}{space 2} .8957932{col 51}{space 1}    4.27{col 60}{space 3}0.000{col 68}{space 4} 2.071439{col 81}{space 3} 5.582884
{txt}{space 23}58  {c |}{col 28}{res}{space 2} -1.91376{col 40}{space 2} 1.653413{col 51}{space 1}   -1.16{col 60}{space 3}0.247{col 68}{space 4} -5.15439{col 81}{space 3} 1.326871
{txt}{space 23}59  {c |}{col 28}{res}{space 2} .7677731{col 40}{space 2} .8023528{col 51}{space 1}    0.96{col 60}{space 3}0.339{col 68}{space 4}-.8048096{col 81}{space 3} 2.340356
{txt}{space 23}60  {c |}{col 28}{res}{space 2}  1.59882{col 40}{space 2} .6296806{col 51}{space 1}    2.54{col 60}{space 3}0.011{col 68}{space 4} .3646687{col 81}{space 3} 2.832971
{txt}{space 23}61  {c |}{col 28}{res}{space 2}-.0718735{col 40}{space 2} .5555194{col 51}{space 1}   -0.13{col 60}{space 3}0.897{col 68}{space 4}-1.160671{col 81}{space 3} 1.016924
{txt}{space 23}62  {c |}{col 28}{res}{space 2}-1.753087{col 40}{space 2} 1.768038{col 51}{space 1}   -0.99{col 60}{space 3}0.321{col 68}{space 4}-5.218378{col 81}{space 3} 1.712205
{txt}{space 23}63  {c |}{col 28}{res}{space 2} .7878112{col 40}{space 2} .5608746{col 51}{space 1}    1.40{col 60}{space 3}0.160{col 68}{space 4}-.3114829{col 81}{space 3} 1.887105
{txt}{space 23}64  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}65  {c |}{col 28}{res}{space 2}-1.034671{col 40}{space 2} .6714103{col 51}{space 1}   -1.54{col 60}{space 3}0.123{col 68}{space 4}-2.350611{col 81}{space 3} .2812686
{txt}{space 23}66  {c |}{col 28}{res}{space 2}-3.357808{col 40}{space 2} 1.263547{col 51}{space 1}   -2.66{col 60}{space 3}0.008{col 68}{space 4}-5.834314{col 81}{space 3}-.8813007
{txt}{space 23}67  {c |}{col 28}{res}{space 2}-1.020944{col 40}{space 2} .8382088{col 51}{space 1}   -1.22{col 60}{space 3}0.223{col 68}{space 4}-2.663803{col 81}{space 3} .6219152
{txt}{space 23}68  {c |}{col 28}{res}{space 2}-2.163497{col 40}{space 2} .6453155{col 51}{space 1}   -3.35{col 60}{space 3}0.001{col 68}{space 4}-3.428292{col 81}{space 3}-.8987015
{txt}{space 23}69  {c |}{col 28}{res}{space 2}-.7226839{col 40}{space 2}  .620394{col 51}{space 1}   -1.16{col 60}{space 3}0.244{col 68}{space 4}-1.938634{col 81}{space 3}  .493266
{txt}{space 23}70  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}71  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}72  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}73  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}74  {c |}{col 28}{res}{space 2} -.403804{col 40}{space 2} .6928422{col 51}{space 1}   -0.58{col 60}{space 3}0.560{col 68}{space 4} -1.76175{col 81}{space 3} .9541417
{txt}{space 23}75  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2}-1.495804{col 40}{space 2} 2.885269{col 51}{space 1}   -0.52{col 60}{space 3}0.604{col 68}{space 4}-7.150827{col 81}{space 3} 4.159219
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 21}/ln_r {c |}{col 28}{res}{space 2} .2329786{col 40}{space 2} .2220115{col 68}{space 4} -.202156{col 81}{space 3} .6681131
{txt}{space 21}/ln_s {c |}{col 28}{res}{space 2} 3.135546{col 40}{space 2} .3266699{col 68}{space 4} 2.495284{col 81}{space 3} 3.775807
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                         r {c |}{col 28}{res}{space 2} 1.262354{col 40}{space 2} .2802572{col 68}{space 4} .8169675{col 81}{space 3} 1.950553
{txt}                         s {c |}{col 28}{res}{space 2} 23.00118{col 40}{space 2} 7.513793{col 68}{space 4} 12.12518{col 81}{space 3}  43.6327
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{txt}LR test vs. pooled: {help j_chibar##|_new:chibar2(01) = }{res}0.00{col 56}{txt}Prob >= chibar2 = {res}1.000
{txt}
{com}. 
. collin total_court_cases lag_total_cases ln_cum_state_victims peoples_govt_active ln_pop percent_votes1991_1999_GAP     ///
> litrate_1991_2001_GAP road_density_GAP year2002 hilli_region mountain_region region_east region_mid region_west region_farwest sno if year>1995 & year<2007 
{txt}(obs=825)

  Collinearity Diagnostics

                        SQRT                   R-
  Variable      VIF     VIF    Tolerance    Squared
----------------------------------------------------
{res}total_court_cases     33.14    5.76    0.0302      0.9698
lag_total_cases     33.66    5.80    0.0297      0.9703
ln_cum_state_victims      4.01    2.00    0.2493      0.7507
peoples_govt_active      2.75    1.66    0.3640      0.6360
    ln_pop      6.29    2.51    0.1589      0.8411
percent_votes1991_1999_GAP      1.36    1.17    0.7362      0.2638
litrate_1991_2001_GAP      2.63    1.62    0.3808      0.6192
road_density_GAP      4.31    2.08    0.2322      0.7678
  year2002      3.75    1.94    0.2669      0.7331
hilli_region      2.61    1.62    0.3829      0.6171
mountain_region      3.17    1.78    0.3159      0.6841
region_east     22.15    4.71    0.0452      0.9548
region_mid     10.20    3.19    0.0980      0.9020
region_west      3.76    1.94    0.2660      0.7340
region_farwest      2.97    1.72    0.3364      0.6636
       sno     25.60    5.06    0.0391      0.9609
{txt}----------------------------------------------------
  Mean VIF{res}     10.15

{txt}                           Cond
        Eigenval          Index
---------------------------------
{res}    1     6.7387          1.0000
    2     2.6988          1.5802
    3     1.4924          2.1249
    4     1.2662          2.3070
    5     1.1275          2.4447
    6     0.9466          2.6681
    7     0.7340          3.0299
    8     0.6596          3.1964
    9     0.5650          3.4536
    10     0.2920          4.8042
    11     0.1641          6.4078
    12     0.1447          6.8239
    13     0.0792          9.2228
    14     0.0717          9.6959
    15     0.0104         25.4915
    16     0.0088         27.6237
    17     0.0003        148.7325
{txt}---------------------------------
 Condition Number{res}       148.7325 
{txt} Eigenvalues & Cond Index computed from scaled raw sscp (w/ intercept)
 Det(correlation matrix){res}    0.0000
{txt}
{com}. 
. test

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[total_court_cases]lag_total_cases = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} [total_court_cases]ln_cum_state_victims = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} [total_court_cases]peoples_govt_active = 0{p_end}
{p 0 7}{space 1}{text:( 4)}{space 1} [total_court_cases]ln_pop = 0{p_end}
{p 0 7}{space 1}{text:( 5)}{space 1} [total_court_cases]percent_votes1991_1999_GAP = 0{p_end}
{p 0 7}{space 1}{text:( 6)}{space 1} [total_court_cases]litrate_1991_2001_GAP = 0{p_end}
{p 0 7}{space 1}{text:( 7)}{space 1} [total_court_cases]road_density_GAP = 0{p_end}
{p 0 7}{space 1}{text:( 8)}{space 1} [total_court_cases]year2002 = 0{p_end}
{p 0 7}{space 1}{text:( 9)}{space 1} [total_court_cases]hilli_region = 0{p_end}
{p 0 7}{space 1}{text:(10)}{space 1} [total_court_cases]mountain_region = 0{p_end}
{p 0 7}{space 1}{text:(11)}{space 1} [total_court_cases]region_east = 0{p_end}
{p 0 7}{space 1}{text:(12)}{space 1} [total_court_cases]region_mid = 0{p_end}
{p 0 7}{space 1}{text:(13)}{space 1} [total_court_cases]region_west = 0{p_end}
{p 0 7}{space 1}{text:(14)}{space 1} [total_court_cases]region_farwest = 0{p_end}
{p 0 7}{space 1}{text:(15)}{space 1} [total_court_cases]1b.sno = 0{p_end}
{p 0 7}{space 1}{text:(16)}{space 1} [total_court_cases]2.sno = 0{p_end}
{p 0 7}{space 1}{text:(17)}{space 1} [total_court_cases]3.sno = 0{p_end}
{p 0 7}{space 1}{text:(18)}{space 1} [total_court_cases]4.sno = 0{p_end}
{p 0 7}{space 1}{text:(19)}{space 1} [total_court_cases]5.sno = 0{p_end}
{p 0 7}{space 1}{text:(20)}{space 1} [total_court_cases]6.sno = 0{p_end}
{p 0 7}{space 1}{text:(21)}{space 1} [total_court_cases]7.sno = 0{p_end}
{p 0 7}{space 1}{text:(22)}{space 1} [total_court_cases]8.sno = 0{p_end}
{p 0 7}{space 1}{text:(23)}{space 1} [total_court_cases]9.sno = 0{p_end}
{p 0 7}{space 1}{text:(24)}{space 1} [total_court_cases]10.sno = 0{p_end}
{p 0 7}{space 1}{text:(25)}{space 1} [total_court_cases]11.sno = 0{p_end}
{p 0 7}{space 1}{text:(26)}{space 1} [total_court_cases]12.sno = 0{p_end}
{p 0 7}{space 1}{text:(27)}{space 1} [total_court_cases]13.sno = 0{p_end}
{p 0 7}{space 1}{text:(28)}{space 1} [total_court_cases]14.sno = 0{p_end}
{p 0 7}{space 1}{text:(29)}{space 1} [total_court_cases]15.sno = 0{p_end}
{p 0 7}{space 1}{text:(30)}{space 1} [total_court_cases]16.sno = 0{p_end}
{p 0 7}{space 1}{text:(31)}{space 1} [total_court_cases]17.sno = 0{p_end}
{p 0 7}{space 1}{text:(32)}{space 1} [total_court_cases]18.sno = 0{p_end}
{p 0 7}{space 1}{text:(33)}{space 1} [total_court_cases]19.sno = 0{p_end}
{p 0 7}{space 1}{text:(34)}{space 1} [total_court_cases]20.sno = 0{p_end}
{p 0 7}{space 1}{text:(35)}{space 1} [total_court_cases]21.sno = 0{p_end}
{p 0 7}{space 1}{text:(36)}{space 1} [total_court_cases]22.sno = 0{p_end}
{p 0 7}{space 1}{text:(37)}{space 1} [total_court_cases]23.sno = 0{p_end}
{p 0 7}{space 1}{text:(38)}{space 1} [total_court_cases]24.sno = 0{p_end}
{p 0 7}{space 1}{text:(39)}{space 1} [total_court_cases]25.sno = 0{p_end}
{p 0 7}{space 1}{text:(40)}{space 1} [total_court_cases]26.sno = 0{p_end}
{p 0 7}{space 1}{text:(41)}{space 1} [total_court_cases]27.sno = 0{p_end}
{p 0 7}{space 1}{text:(42)}{space 1} [total_court_cases]28.sno = 0{p_end}
{p 0 7}{space 1}{text:(43)}{space 1} [total_court_cases]29.sno = 0{p_end}
{p 0 7}{space 1}{text:(44)}{space 1} [total_court_cases]30.sno = 0{p_end}
{p 0 7}{space 1}{text:(45)}{space 1} [total_court_cases]31.sno = 0{p_end}
{p 0 7}{space 1}{text:(46)}{space 1} [total_court_cases]32.sno = 0{p_end}
{p 0 7}{space 1}{text:(47)}{space 1} [total_court_cases]33.sno = 0{p_end}
{p 0 7}{space 1}{text:(48)}{space 1} [total_court_cases]34.sno = 0{p_end}
{p 0 7}{space 1}{text:(49)}{space 1} [total_court_cases]35o.sno = 0{p_end}
{p 0 7}{space 1}{text:(50)}{space 1} [total_court_cases]36.sno = 0{p_end}
{p 0 7}{space 1}{text:(51)}{space 1} [total_court_cases]37.sno = 0{p_end}
{p 0 7}{space 1}{text:(52)}{space 1} [total_court_cases]38.sno = 0{p_end}
{p 0 7}{space 1}{text:(53)}{space 1} [total_court_cases]39.sno = 0{p_end}
{p 0 7}{space 1}{text:(54)}{space 1} [total_court_cases]40.sno = 0{p_end}
{p 0 7}{space 1}{text:(55)}{space 1} [total_court_cases]41.sno = 0{p_end}
{p 0 7}{space 1}{text:(56)}{space 1} [total_court_cases]42.sno = 0{p_end}
{p 0 7}{space 1}{text:(57)}{space 1} [total_court_cases]43.sno = 0{p_end}
{p 0 7}{space 1}{text:(58)}{space 1} [total_court_cases]44.sno = 0{p_end}
{p 0 7}{space 1}{text:(59)}{space 1} [total_court_cases]45.sno = 0{p_end}
{p 0 7}{space 1}{text:(60)}{space 1} [total_court_cases]46.sno = 0{p_end}
{p 0 7}{space 1}{text:(61)}{space 1} [total_court_cases]47.sno = 0{p_end}
{p 0 7}{space 1}{text:(62)}{space 1} [total_court_cases]48.sno = 0{p_end}
{p 0 7}{space 1}{text:(63)}{space 1} [total_court_cases]49.sno = 0{p_end}
{p 0 7}{space 1}{text:(64)}{space 1} [total_court_cases]50.sno = 0{p_end}
{p 0 7}{space 1}{text:(65)}{space 1} [total_court_cases]51.sno = 0{p_end}
{p 0 7}{space 1}{text:(66)}{space 1} [total_court_cases]52.sno = 0{p_end}
{p 0 7}{space 1}{text:(67)}{space 1} [total_court_cases]53.sno = 0{p_end}
{p 0 7}{space 1}{text:(68)}{space 1} [total_court_cases]54.sno = 0{p_end}
{p 0 7}{space 1}{text:(69)}{space 1} [total_court_cases]55.sno = 0{p_end}
{p 0 7}{space 1}{text:(70)}{space 1} [total_court_cases]56.sno = 0{p_end}
{p 0 7}{space 1}{text:(71)}{space 1} [total_court_cases]57.sno = 0{p_end}
{p 0 7}{space 1}{text:(72)}{space 1} [total_court_cases]58.sno = 0{p_end}
{p 0 7}{space 1}{text:(73)}{space 1} [total_court_cases]59.sno = 0{p_end}
{p 0 7}{space 1}{text:(74)}{space 1} [total_court_cases]60.sno = 0{p_end}
{p 0 7}{space 1}{text:(75)}{space 1} [total_court_cases]61.sno = 0{p_end}
{p 0 7}{space 1}{text:(76)}{space 1} [total_court_cases]62.sno = 0{p_end}
{p 0 7}{space 1}{text:(77)}{space 1} [total_court_cases]63.sno = 0{p_end}
{p 0 7}{space 1}{text:(78)}{space 1} [total_court_cases]64o.sno = 0{p_end}
{p 0 7}{space 1}{text:(79)}{space 1} [total_court_cases]65.sno = 0{p_end}
{p 0 7}{space 1}{text:(80)}{space 1} [total_court_cases]66.sno = 0{p_end}
{p 0 7}{space 1}{text:(81)}{space 1} [total_court_cases]67.sno = 0{p_end}
{p 0 7}{space 1}{text:(82)}{space 1} [total_court_cases]68.sno = 0{p_end}
{p 0 7}{space 1}{text:(83)}{space 1} [total_court_cases]69.sno = 0{p_end}
{p 0 7}{space 1}{text:(84)}{space 1} [total_court_cases]70o.sno = 0{p_end}
{p 0 7}{space 1}{text:(85)}{space 1} [total_court_cases]71o.sno = 0{p_end}
{p 0 7}{space 1}{text:(86)}{space 1} [total_court_cases]72o.sno = 0{p_end}
{p 0 7}{space 1}{text:(87)}{space 1} [total_court_cases]73o.sno = 0{p_end}
{p 0 7}{space 1}{text:(88)}{space 1} [total_court_cases]74.sno = 0{p_end}
{p 0 7}{space 1}{text:(89)}{space 1} [total_court_cases]75o.sno = 0{p_end}
       {txt}Constraint 15 dropped
       Constraint 49 dropped
       Constraint 78 dropped
       Constraint 84 dropped
       Constraint 85 dropped
       Constraint 86 dropped
       Constraint 87 dropped
       Constraint 89 dropped

           chi2( 81) ={res} 2251.35
         {txt}Prob > chi2 ={res}    0.0000

{txt}
{com}. test ln_cum_state_victims peoples_govt_active

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[total_court_cases]ln_cum_state_victims = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} [total_court_cases]peoples_govt_active = 0{p_end}

{txt}{col 12}chi2(  2) ={res}  128.33
{txt}{col 10}Prob > chi2 =  {res}  0.0000
{txt}
{com}. estat ic

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}       825{col 27}        .{col 38}-5187.581{col 49}    84{col 58} 10543.16{col 69} 10939.25
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. xtnbreg total_court_cases lag_total_cases ln_cum_maoist_victims peoples_govt_active ln_pop percent_votes1991_1999_GAP   ///
> litrate_1991_2001_GAP road_density_GAP year2002 hilli_region mountain_region region_east region_mid region_west region_farwest i.sno if year>1995 & year<2007 
{txt}note: 35.sno omitted because of collinearity
note: 64.sno omitted because of collinearity
note: 70.sno omitted because of collinearity
note: 71.sno omitted because of collinearity
note: 72.sno omitted because of collinearity
note: 73.sno omitted because of collinearity
note: 75.sno omitted because of collinearity

Fitting negative binomial (constant dispersion) model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-2403604.5}  
Iteration 1:{space 3}log likelihood = {res:-963057.65}  
Iteration 2:{space 3}log likelihood = {res:-350154.95}  
Iteration 3:{space 3}log likelihood = {res:-37188.131}  
Iteration 4:{space 3}log likelihood = {res:-21068.783}  
Iteration 5:{space 3}log likelihood = {res:-20848.005}  
Iteration 6:{space 3}log likelihood = {res:-20847.961}  
Iteration 7:{space 3}log likelihood = {res:-20847.961}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-299668.31}  
Iteration 1:{space 3}log likelihood = {res:-17080.989}  
Iteration 2:{space 3}log likelihood = {res:-7903.8285}  (backed up)
Iteration 3:{space 3}log likelihood = {res:-6575.5695}  
Iteration 4:{space 3}log likelihood = {res:-6486.5743}  
Iteration 5:{space 3}log likelihood = {res:-6478.1043}  
Iteration 6:{space 3}log likelihood = {res:-6478.0828}  
Iteration 7:{space 3}log likelihood = {res:-6478.0828}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-6478.0828}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-6341.9137}  (not concave)
Iteration 2:{space 3}log likelihood = {res:-6132.4814}  (not concave)
Iteration 3:{space 3}log likelihood = {res:-5719.1114}  
Iteration 4:{space 3}log likelihood = {res:-5536.6394}  (backed up)
Iteration 5:{space 3}log likelihood = {res: -5278.222}  
Iteration 6:{space 3}log likelihood = {res:-5172.0567}  
Iteration 7:{space 3}log likelihood = {res:-5170.4176}  
Iteration 8:{space 3}log likelihood = {res:-5170.4109}  
Iteration 9:{space 3}log likelihood = {res:-5170.4109}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: -12761.73}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-6871.9129}  (not concave)
Iteration 2:{space 3}log likelihood = {res:-6059.2832}  (not concave)
Iteration 3:{space 3}log likelihood = {res:-5476.9155}  (not concave)
Iteration 4:{space 3}log likelihood = {res:-5365.0494}  
Iteration 5:{space 3}log likelihood = {res:   -5280.2}  (not concave)
Iteration 6:{space 3}log likelihood = {res:-5227.5106}  
Iteration 7:{space 3}log likelihood = {res: -5207.752}  
Iteration 8:{space 3}log likelihood = {res:-5206.4556}  
Iteration 9:{space 3}log likelihood = {res:-5206.4481}  
Iteration 10:{space 2}log likelihood = {res:-5206.4481}  
{res}
{txt}Random-effects negative binomial regression{col 49}Number of obs{col 67}={col 69}{res}       825
{txt}Group variable: {res}sno{col 49}{txt}Number of groups{col 67}={col 69}{res}        75

{txt}Random effects u_i ~ {res}Beta{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        11
{txt}{col 63}avg{col 67}={col 69}{res}      11.0
{txt}{col 63}max{col 67}={col 69}{res}        11

{txt}{col 49}Wald chi2({res}81{txt}){col 67}={col 70}{res}  2113.13
{txt}Log likelihood  = {res}-5206.4481{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         total_court_cases{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}lag_total_cases {c |}{col 28}{res}{space 2} .0000988{col 40}{space 2} .0000262{col 51}{space 1}    3.77{col 60}{space 3}0.000{col 68}{space 4} .0000474{col 81}{space 3} .0001501
{txt}{space 5}ln_cum_maoist_victims {c |}{col 28}{res}{space 2} -.078754{col 40}{space 2} .0132306{col 51}{space 1}   -5.95{col 60}{space 3}0.000{col 68}{space 4}-.1046855{col 81}{space 3}-.0528226
{txt}{space 7}peoples_govt_active {c |}{col 28}{res}{space 2}-.1964273{col 40}{space 2} .0345831{col 51}{space 1}   -5.68{col 60}{space 3}0.000{col 68}{space 4}-.2642089{col 81}{space 3}-.1286456
{txt}{space 20}ln_pop {c |}{col 28}{res}{space 2}-.0909022{col 40}{space 2} .1753358{col 51}{space 1}   -0.52{col 60}{space 3}0.604{col 68}{space 4}-.4345541{col 81}{space 3} .2527496
{txt}percent_votes1991_1999_GAP {c |}{col 28}{res}{space 2} .0000158{col 40}{space 2}  .004889{col 51}{space 1}    0.00{col 60}{space 3}0.997{col 68}{space 4}-.0095664{col 81}{space 3}  .009598
{txt}{space 5}litrate_1991_2001_GAP {c |}{col 28}{res}{space 2}  .009403{col 40}{space 2} .0036717{col 51}{space 1}    2.56{col 60}{space 3}0.010{col 68}{space 4} .0022066{col 81}{space 3} .0165993
{txt}{space 10}road_density_GAP {c |}{col 28}{res}{space 2} -20.1431{col 40}{space 2} 13.87795{col 51}{space 1}   -1.45{col 60}{space 3}0.147{col 68}{space 4}-47.34338{col 81}{space 3} 7.057172
{txt}{space 18}year2002 {c |}{col 28}{res}{space 2} .0109231{col 40}{space 2} .0376634{col 51}{space 1}    0.29{col 60}{space 3}0.772{col 68}{space 4}-.0628958{col 81}{space 3}  .084742
{txt}{space 14}hilli_region {c |}{col 28}{res}{space 2}-2.596174{col 40}{space 2} .5631028{col 51}{space 1}   -4.61{col 60}{space 3}0.000{col 68}{space 4}-3.699835{col 81}{space 3}-1.492513
{txt}{space 11}mountain_region {c |}{col 28}{res}{space 2}-4.627018{col 40}{space 2} 1.817828{col 51}{space 1}   -2.55{col 60}{space 3}0.011{col 68}{space 4}-8.189895{col 81}{space 3}-1.064141
{txt}{space 15}region_east {c |}{col 28}{res}{space 2} 5.572939{col 40}{space 2}  3.48844{col 51}{space 1}    1.60{col 60}{space 3}0.110{col 68}{space 4}-1.264279{col 81}{space 3} 12.41016
{txt}{space 16}region_mid {c |}{col 28}{res}{space 2}-2.566323{col 40}{space 2} 1.159998{col 51}{space 1}   -2.21{col 60}{space 3}0.027{col 68}{space 4}-4.839877{col 81}{space 3}-.2927697
{txt}{space 15}region_west {c |}{col 28}{res}{space 2}-.7299243{col 40}{space 2} .6536835{col 51}{space 1}   -1.12{col 60}{space 3}0.264{col 68}{space 4} -2.01112{col 81}{space 3} .5512718
{txt}{space 12}region_farwest {c |}{col 28}{res}{space 2} 2.053197{col 40}{space 2} .6963749{col 51}{space 1}    2.95{col 60}{space 3}0.003{col 68}{space 4} .6883269{col 81}{space 3} 3.418067
{txt}{space 26} {c |}
{space 23}sno {c |}
{space 24}2  {c |}{col 28}{res}{space 2}-1.404963{col 40}{space 2} 2.113396{col 51}{space 1}   -0.66{col 60}{space 3}0.506{col 68}{space 4}-5.547143{col 81}{space 3} 2.737217
{txt}{space 24}3  {c |}{col 28}{res}{space 2}-3.257743{col 40}{space 2} 3.154761{col 51}{space 1}   -1.03{col 60}{space 3}0.302{col 68}{space 4}-9.440962{col 81}{space 3} 2.925475
{txt}{space 24}4  {c |}{col 28}{res}{space 2}-3.479649{col 40}{space 2} 3.366298{col 51}{space 1}   -1.03{col 60}{space 3}0.301{col 68}{space 4}-10.07747{col 81}{space 3} 3.118174
{txt}{space 24}5  {c |}{col 28}{res}{space 2}-.6034987{col 40}{space 2} .5968655{col 51}{space 1}   -1.01{col 60}{space 3}0.312{col 68}{space 4}-1.773334{col 81}{space 3} .5663361
{txt}{space 24}6  {c |}{col 28}{res}{space 2} .9768907{col 40}{space 2} .6071378{col 51}{space 1}    1.61{col 60}{space 3}0.108{col 68}{space 4}-.2130774{col 81}{space 3} 2.166859
{txt}{space 24}7  {c |}{col 28}{res}{space 2}-.7821196{col 40}{space 2} 2.110015{col 51}{space 1}   -0.37{col 60}{space 3}0.711{col 68}{space 4}-4.917674{col 81}{space 3} 3.353434
{txt}{space 24}8  {c |}{col 28}{res}{space 2}-4.979823{col 40}{space 2} 4.115311{col 51}{space 1}   -1.21{col 60}{space 3}0.226{col 68}{space 4}-13.04568{col 81}{space 3} 3.086038
{txt}{space 24}9  {c |}{col 28}{res}{space 2}-6.430272{col 40}{space 2} 5.043776{col 51}{space 1}   -1.27{col 60}{space 3}0.202{col 68}{space 4}-16.31589{col 81}{space 3} 3.455346
{txt}{space 23}10  {c |}{col 28}{res}{space 2}-4.658363{col 40}{space 2} 3.360887{col 51}{space 1}   -1.39{col 60}{space 3}0.166{col 68}{space 4}-11.24558{col 81}{space 3} 1.928855
{txt}{space 23}11  {c |}{col 28}{res}{space 2}-3.034048{col 40}{space 2} 2.073594{col 51}{space 1}   -1.46{col 60}{space 3}0.143{col 68}{space 4}-7.098219{col 81}{space 3} 1.030122
{txt}{space 23}12  {c |}{col 28}{res}{space 2}-1.743801{col 40}{space 2} 1.743024{col 51}{space 1}   -1.00{col 60}{space 3}0.317{col 68}{space 4}-5.160066{col 81}{space 3} 1.672464
{txt}{space 23}13  {c |}{col 28}{res}{space 2}-3.258194{col 40}{space 2} 3.729324{col 51}{space 1}   -0.87{col 60}{space 3}0.382{col 68}{space 4}-10.56754{col 81}{space 3} 4.051147
{txt}{space 23}14  {c |}{col 28}{res}{space 2}-6.340601{col 40}{space 2}  5.07493{col 51}{space 1}   -1.25{col 60}{space 3}0.212{col 68}{space 4}-16.28728{col 81}{space 3} 3.606079
{txt}{space 23}15  {c |}{col 28}{res}{space 2}-5.213042{col 40}{space 2} 4.549163{col 51}{space 1}   -1.15{col 60}{space 3}0.252{col 68}{space 4}-14.12924{col 81}{space 3} 3.703154
{txt}{space 23}16  {c |}{col 28}{res}{space 2} -5.28427{col 40}{space 2} 3.499567{col 51}{space 1}   -1.51{col 60}{space 3}0.131{col 68}{space 4}-12.14329{col 81}{space 3} 1.574755
{txt}{space 23}17  {c |}{col 28}{res}{space 2} 12.36172{col 40}{space 2} 7.075401{col 51}{space 1}    1.75{col 60}{space 3}0.081{col 68}{space 4}-1.505808{col 81}{space 3} 26.22926
{txt}{space 23}18  {c |}{col 28}{res}{space 2}  9.77272{col 40}{space 2} 5.525757{col 51}{space 1}    1.77{col 60}{space 3}0.077{col 68}{space 4}-1.057566{col 81}{space 3} 20.60301
{txt}{space 23}19  {c |}{col 28}{res}{space 2} 9.376865{col 40}{space 2} 4.677151{col 51}{space 1}    2.00{col 60}{space 3}0.045{col 68}{space 4} .2098172{col 81}{space 3} 18.54391
{txt}{space 23}20  {c |}{col 28}{res}{space 2}  4.26284{col 40}{space 2} .9610482{col 51}{space 1}    4.44{col 60}{space 3}0.000{col 68}{space 4} 2.379221{col 81}{space 3}  6.14646
{txt}{space 23}21  {c |}{col 28}{res}{space 2} 3.448177{col 40}{space 2} .8929662{col 51}{space 1}    3.86{col 60}{space 3}0.000{col 68}{space 4} 1.697995{col 81}{space 3} 5.198359
{txt}{space 23}22  {c |}{col 28}{res}{space 2} 5.355658{col 40}{space 2} 2.427671{col 51}{space 1}    2.21{col 60}{space 3}0.027{col 68}{space 4} .5975116{col 81}{space 3} 10.11381
{txt}{space 23}23  {c |}{col 28}{res}{space 2} 4.826819{col 40}{space 2} 1.935979{col 51}{space 1}    2.49{col 60}{space 3}0.013{col 68}{space 4}  1.03237{col 81}{space 3} 8.621267
{txt}{space 23}24  {c |}{col 28}{res}{space 2} 5.969166{col 40}{space 2} 2.834151{col 51}{space 1}    2.11{col 60}{space 3}0.035{col 68}{space 4} .4143313{col 81}{space 3}   11.524
{txt}{space 23}25  {c |}{col 28}{res}{space 2} 5.187503{col 40}{space 2} 2.552434{col 51}{space 1}    2.03{col 60}{space 3}0.042{col 68}{space 4} .1848247{col 81}{space 3} 10.19018
{txt}{space 23}26  {c |}{col 28}{res}{space 2} 8.260665{col 40}{space 2} 4.063297{col 51}{space 1}    2.03{col 60}{space 3}0.042{col 68}{space 4} .2967487{col 81}{space 3} 16.22458
{txt}{space 23}27  {c |}{col 28}{res}{space 2} 6.387044{col 40}{space 2} 1.373908{col 51}{space 1}    4.65{col 60}{space 3}0.000{col 68}{space 4} 3.694234{col 81}{space 3} 9.079855
{txt}{space 23}28  {c |}{col 28}{res}{space 2} 20.35428{col 40}{space 2} 11.28429{col 51}{space 1}    1.80{col 60}{space 3}0.071{col 68}{space 4}-1.762529{col 81}{space 3} 42.47109
{txt}{space 23}29  {c |}{col 28}{res}{space 2} 33.17568{col 40}{space 2} 20.25413{col 51}{space 1}    1.64{col 60}{space 3}0.101{col 68}{space 4}-6.521681{col 81}{space 3} 72.87305
{txt}{space 23}30  {c |}{col 28}{res}{space 2} 43.52526{col 40}{space 2} 27.64684{col 51}{space 1}    1.57{col 60}{space 3}0.115{col 68}{space 4}-10.66155{col 81}{space 3} 97.71208
{txt}{space 23}31  {c |}{col 28}{res}{space 2} 10.51948{col 40}{space 2}  3.35681{col 51}{space 1}    3.13{col 60}{space 3}0.002{col 68}{space 4} 3.940252{col 81}{space 3}  17.0987
{txt}{space 23}32  {c |}{col 28}{res}{space 2} 6.662545{col 40}{space 2} 1.340878{col 51}{space 1}    4.97{col 60}{space 3}0.000{col 68}{space 4} 4.034473{col 81}{space 3} 9.290618
{txt}{space 23}33  {c |}{col 28}{res}{space 2} 2.230583{col 40}{space 2} .6993578{col 51}{space 1}    3.19{col 60}{space 3}0.001{col 68}{space 4} .8598664{col 81}{space 3} 3.601299
{txt}{space 23}34  {c |}{col 28}{res}{space 2} 7.222094{col 40}{space 2} 2.662303{col 51}{space 1}    2.71{col 60}{space 3}0.007{col 68}{space 4} 2.004075{col 81}{space 3} 12.44011
{txt}{space 23}35  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}36  {c |}{col 28}{res}{space 2} 7.695388{col 40}{space 2} 2.130463{col 51}{space 1}    3.61{col 60}{space 3}0.000{col 68}{space 4} 3.519758{col 81}{space 3} 11.87102
{txt}{space 23}37  {c |}{col 28}{res}{space 2} 1.443587{col 40}{space 2} 1.504706{col 51}{space 1}    0.96{col 60}{space 3}0.337{col 68}{space 4}-1.505582{col 81}{space 3} 4.392756
{txt}{space 23}38  {c |}{col 28}{res}{space 2}  2.51338{col 40}{space 2} 1.195495{col 51}{space 1}    2.10{col 60}{space 3}0.036{col 68}{space 4} .1702535{col 81}{space 3} 4.856506
{txt}{space 23}39  {c |}{col 28}{res}{space 2} 3.394311{col 40}{space 2}  1.05551{col 51}{space 1}    3.22{col 60}{space 3}0.001{col 68}{space 4} 1.325549{col 81}{space 3} 5.463072
{txt}{space 23}40  {c |}{col 28}{res}{space 2} 5.946388{col 40}{space 2} 1.475137{col 51}{space 1}    4.03{col 60}{space 3}0.000{col 68}{space 4} 3.055173{col 81}{space 3} 8.837604
{txt}{space 23}41  {c |}{col 28}{res}{space 2} 1.488453{col 40}{space 2} 1.033143{col 51}{space 1}    1.44{col 60}{space 3}0.150{col 68}{space 4}-.5364693{col 81}{space 3} 3.513376
{txt}{space 23}42  {c |}{col 28}{res}{space 2} 3.155632{col 40}{space 2} 1.578959{col 51}{space 1}    2.00{col 60}{space 3}0.046{col 68}{space 4} .0609299{col 81}{space 3} 6.250334
{txt}{space 23}43  {c |}{col 28}{res}{space 2} 5.594555{col 40}{space 2} 1.576246{col 51}{space 1}    3.55{col 60}{space 3}0.000{col 68}{space 4} 2.505169{col 81}{space 3} 8.683941
{txt}{space 23}44  {c |}{col 28}{res}{space 2} 2.602093{col 40}{space 2} 1.306346{col 51}{space 1}    1.99{col 60}{space 3}0.046{col 68}{space 4} .0417025{col 81}{space 3} 5.162483
{txt}{space 23}45  {c |}{col 28}{res}{space 2} 5.196948{col 40}{space 2} 1.188147{col 51}{space 1}    4.37{col 60}{space 3}0.000{col 68}{space 4} 2.868223{col 81}{space 3} 7.525674
{txt}{space 23}46  {c |}{col 28}{res}{space 2} 3.383461{col 40}{space 2} 1.033936{col 51}{space 1}    3.27{col 60}{space 3}0.001{col 68}{space 4} 1.356983{col 81}{space 3} 5.409938
{txt}{space 23}47  {c |}{col 28}{res}{space 2} 1.436852{col 40}{space 2} 1.776193{col 51}{space 1}    0.81{col 60}{space 3}0.419{col 68}{space 4}-2.044421{col 81}{space 3} 4.918126
{txt}{space 23}48  {c |}{col 28}{res}{space 2} 3.294918{col 40}{space 2} .9099528{col 51}{space 1}    3.62{col 60}{space 3}0.000{col 68}{space 4} 1.511443{col 81}{space 3} 5.078392
{txt}{space 23}49  {c |}{col 28}{res}{space 2} .1568869{col 40}{space 2} 1.804055{col 51}{space 1}    0.09{col 60}{space 3}0.931{col 68}{space 4}-3.378996{col 81}{space 3}  3.69277
{txt}{space 23}50  {c |}{col 28}{res}{space 2} 1.919311{col 40}{space 2} 1.150655{col 51}{space 1}    1.67{col 60}{space 3}0.095{col 68}{space 4}-.3359313{col 81}{space 3} 4.174554
{txt}{space 23}51  {c |}{col 28}{res}{space 2} 3.319995{col 40}{space 2} .8814829{col 51}{space 1}    3.77{col 60}{space 3}0.000{col 68}{space 4}  1.59232{col 81}{space 3}  5.04767
{txt}{space 23}52  {c |}{col 28}{res}{space 2} -.816385{col 40}{space 2} 1.496377{col 51}{space 1}   -0.55{col 60}{space 3}0.585{col 68}{space 4}-3.749231{col 81}{space 3} 2.116461
{txt}{space 23}53  {c |}{col 28}{res}{space 2} 1.520536{col 40}{space 2} .8452401{col 51}{space 1}    1.80{col 60}{space 3}0.072{col 68}{space 4}-.1361039{col 81}{space 3} 3.177176
{txt}{space 23}54  {c |}{col 28}{res}{space 2}-1.286948{col 40}{space 2} 1.657688{col 51}{space 1}   -0.78{col 60}{space 3}0.438{col 68}{space 4}-4.535956{col 81}{space 3}  1.96206
{txt}{space 23}55  {c |}{col 28}{res}{space 2} 1.377304{col 40}{space 2} 1.009957{col 51}{space 1}    1.36{col 60}{space 3}0.173{col 68}{space 4}-.6021743{col 81}{space 3} 3.356783
{txt}{space 23}56  {c |}{col 28}{res}{space 2} .8980665{col 40}{space 2} .9318913{col 51}{space 1}    0.96{col 60}{space 3}0.335{col 68}{space 4}-.9284069{col 81}{space 3}  2.72454
{txt}{space 23}57  {c |}{col 28}{res}{space 2} 4.101618{col 40}{space 2}  .880908{col 51}{space 1}    4.66{col 60}{space 3}0.000{col 68}{space 4}  2.37507{col 81}{space 3} 5.828165
{txt}{space 23}58  {c |}{col 28}{res}{space 2}-1.836077{col 40}{space 2} 1.680006{col 51}{space 1}   -1.09{col 60}{space 3}0.274{col 68}{space 4}-5.128828{col 81}{space 3} 1.456675
{txt}{space 23}59  {c |}{col 28}{res}{space 2} 1.117901{col 40}{space 2} .7987956{col 51}{space 1}    1.40{col 60}{space 3}0.162{col 68}{space 4}-.4477096{col 81}{space 3} 2.683512
{txt}{space 23}60  {c |}{col 28}{res}{space 2} 1.422297{col 40}{space 2} .6302825{col 51}{space 1}    2.26{col 60}{space 3}0.024{col 68}{space 4} .1869664{col 81}{space 3} 2.657628
{txt}{space 23}61  {c |}{col 28}{res}{space 2} .0504953{col 40}{space 2} .5568084{col 51}{space 1}    0.09{col 60}{space 3}0.928{col 68}{space 4}-1.040829{col 81}{space 3}  1.14182
{txt}{space 23}62  {c |}{col 28}{res}{space 2}-1.937743{col 40}{space 2}  1.80325{col 51}{space 1}   -1.07{col 60}{space 3}0.283{col 68}{space 4}-5.472047{col 81}{space 3} 1.596562
{txt}{space 23}63  {c |}{col 28}{res}{space 2} .5325342{col 40}{space 2} .5613343{col 51}{space 1}    0.95{col 60}{space 3}0.343{col 68}{space 4}-.5676607{col 81}{space 3} 1.632729
{txt}{space 23}64  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}65  {c |}{col 28}{res}{space 2}-.8444847{col 40}{space 2} .6587925{col 51}{space 1}   -1.28{col 60}{space 3}0.200{col 68}{space 4}-2.135694{col 81}{space 3} .4467248
{txt}{space 23}66  {c |}{col 28}{res}{space 2} -3.16016{col 40}{space 2} 1.286923{col 51}{space 1}   -2.46{col 60}{space 3}0.014{col 68}{space 4}-5.682483{col 81}{space 3}-.6378377
{txt}{space 23}67  {c |}{col 28}{res}{space 2}-.8421173{col 40}{space 2} .8503824{col 51}{space 1}   -0.99{col 60}{space 3}0.322{col 68}{space 4}-2.508836{col 81}{space 3} .8246016
{txt}{space 23}68  {c |}{col 28}{res}{space 2}-2.153165{col 40}{space 2}  .645034{col 51}{space 1}   -3.34{col 60}{space 3}0.001{col 68}{space 4}-3.417409{col 81}{space 3}-.8889218
{txt}{space 23}69  {c |}{col 28}{res}{space 2}-.6168617{col 40}{space 2} .6182395{col 51}{space 1}   -1.00{col 60}{space 3}0.318{col 68}{space 4}-1.828589{col 81}{space 3} .5948655
{txt}{space 23}70  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}71  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}72  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}73  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}74  {c |}{col 28}{res}{space 2}-.9366833{col 40}{space 2} .6930383{col 51}{space 1}   -1.35{col 60}{space 3}0.177{col 68}{space 4}-2.295013{col 81}{space 3} .4216467
{txt}{space 23}75  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2} 2.859066{col 40}{space 2} 2.488079{col 51}{space 1}    1.15{col 60}{space 3}0.251{col 68}{space 4}-2.017479{col 81}{space 3} 7.735612
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 21}/ln_r {c |}{col 28}{res}{space 2} .1768825{col 40}{space 2} .2187266{col 68}{space 4}-.2518138{col 81}{space 3} .6055788
{txt}{space 21}/ln_s {c |}{col 28}{res}{space 2} 3.098031{col 40}{space 2} .3268188{col 68}{space 4} 2.457478{col 81}{space 3} 3.738584
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                         r {c |}{col 28}{res}{space 2} 1.193491{col 40}{space 2} .2610482{col 68}{space 4} .7773895{col 81}{space 3} 1.832313
{txt}                         s {c |}{col 28}{res}{space 2}  22.1543{col 40}{space 2}  7.24044{col 68}{space 4} 11.67533{col 81}{space 3} 42.03844
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{txt}LR test vs. pooled: {help j_chibar##|_new:chibar2(01) = }{res}0.00{col 56}{txt}Prob >= chibar2 = {res}1.000
{txt}
{com}. 
. collin total_court_cases lag_total_cases ln_cum_maoist_victims peoples_govt_active ln_pop percent_votes1991_1999_GAP    ///
> litrate_1991_2001_GAP road_density_GAP year2002 hilli_region mountain_region region_east region_mid region_west region_farwest sno if year>1995 & year<2007 
{txt}(obs=825)

  Collinearity Diagnostics

                        SQRT                   R-
  Variable      VIF     VIF    Tolerance    Squared
----------------------------------------------------
{res}total_court_cases     33.17    5.76    0.0301      0.9699
lag_total_cases     33.65    5.80    0.0297      0.9703
ln_cum_maoist_victims      3.90    1.98    0.2564      0.7436
peoples_govt_active      2.75    1.66    0.3635      0.6365
    ln_pop      6.44    2.54    0.1554      0.8446
percent_votes1991_1999_GAP      1.35    1.16    0.7390      0.2610
litrate_1991_2001_GAP      2.62    1.62    0.3813      0.6187
road_density_GAP      4.31    2.08    0.2321      0.7679
  year2002      3.68    1.92    0.2714      0.7286
hilli_region      2.61    1.61    0.3835      0.6165
mountain_region      3.18    1.78    0.3141      0.6859
region_east     22.03    4.69    0.0454      0.9546
region_mid     10.04    3.17    0.0996      0.9004
region_west      3.62    1.90    0.2760      0.7240
region_farwest      3.01    1.74    0.3317      0.6683
       sno     25.60    5.06    0.0391      0.9609
{txt}----------------------------------------------------
  Mean VIF{res}     10.12

{txt}                           Cond
        Eigenval          Index
---------------------------------
{res}    1     6.7281          1.0000
    2     2.6924          1.5808
    3     1.4926          2.1231
    4     1.2764          2.2959
    5     1.1353          2.4344
    6     0.9450          2.6682
    7     0.7329          3.0298
    8     0.6603          3.1922
    9     0.5637          3.4548
    10     0.2867          4.8445
    11     0.1640          6.4055
    12     0.1447          6.8200
    13     0.0803          9.1550
    14     0.0783          9.2685
    15     0.0104         25.4719
    16     0.0087         27.7360
    17     0.0003        149.8770
{txt}---------------------------------
 Condition Number{res}       149.8770 
{txt} Eigenvalues & Cond Index computed from scaled raw sscp (w/ intercept)
 Det(correlation matrix){res}    0.0000
{txt}
{com}. 
. 
. test

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[total_court_cases]lag_total_cases = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} [total_court_cases]ln_cum_maoist_victims = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} [total_court_cases]peoples_govt_active = 0{p_end}
{p 0 7}{space 1}{text:( 4)}{space 1} [total_court_cases]ln_pop = 0{p_end}
{p 0 7}{space 1}{text:( 5)}{space 1} [total_court_cases]percent_votes1991_1999_GAP = 0{p_end}
{p 0 7}{space 1}{text:( 6)}{space 1} [total_court_cases]litrate_1991_2001_GAP = 0{p_end}
{p 0 7}{space 1}{text:( 7)}{space 1} [total_court_cases]road_density_GAP = 0{p_end}
{p 0 7}{space 1}{text:( 8)}{space 1} [total_court_cases]year2002 = 0{p_end}
{p 0 7}{space 1}{text:( 9)}{space 1} [total_court_cases]hilli_region = 0{p_end}
{p 0 7}{space 1}{text:(10)}{space 1} [total_court_cases]mountain_region = 0{p_end}
{p 0 7}{space 1}{text:(11)}{space 1} [total_court_cases]region_east = 0{p_end}
{p 0 7}{space 1}{text:(12)}{space 1} [total_court_cases]region_mid = 0{p_end}
{p 0 7}{space 1}{text:(13)}{space 1} [total_court_cases]region_west = 0{p_end}
{p 0 7}{space 1}{text:(14)}{space 1} [total_court_cases]region_farwest = 0{p_end}
{p 0 7}{space 1}{text:(15)}{space 1} [total_court_cases]1b.sno = 0{p_end}
{p 0 7}{space 1}{text:(16)}{space 1} [total_court_cases]2.sno = 0{p_end}
{p 0 7}{space 1}{text:(17)}{space 1} [total_court_cases]3.sno = 0{p_end}
{p 0 7}{space 1}{text:(18)}{space 1} [total_court_cases]4.sno = 0{p_end}
{p 0 7}{space 1}{text:(19)}{space 1} [total_court_cases]5.sno = 0{p_end}
{p 0 7}{space 1}{text:(20)}{space 1} [total_court_cases]6.sno = 0{p_end}
{p 0 7}{space 1}{text:(21)}{space 1} [total_court_cases]7.sno = 0{p_end}
{p 0 7}{space 1}{text:(22)}{space 1} [total_court_cases]8.sno = 0{p_end}
{p 0 7}{space 1}{text:(23)}{space 1} [total_court_cases]9.sno = 0{p_end}
{p 0 7}{space 1}{text:(24)}{space 1} [total_court_cases]10.sno = 0{p_end}
{p 0 7}{space 1}{text:(25)}{space 1} [total_court_cases]11.sno = 0{p_end}
{p 0 7}{space 1}{text:(26)}{space 1} [total_court_cases]12.sno = 0{p_end}
{p 0 7}{space 1}{text:(27)}{space 1} [total_court_cases]13.sno = 0{p_end}
{p 0 7}{space 1}{text:(28)}{space 1} [total_court_cases]14.sno = 0{p_end}
{p 0 7}{space 1}{text:(29)}{space 1} [total_court_cases]15.sno = 0{p_end}
{p 0 7}{space 1}{text:(30)}{space 1} [total_court_cases]16.sno = 0{p_end}
{p 0 7}{space 1}{text:(31)}{space 1} [total_court_cases]17.sno = 0{p_end}
{p 0 7}{space 1}{text:(32)}{space 1} [total_court_cases]18.sno = 0{p_end}
{p 0 7}{space 1}{text:(33)}{space 1} [total_court_cases]19.sno = 0{p_end}
{p 0 7}{space 1}{text:(34)}{space 1} [total_court_cases]20.sno = 0{p_end}
{p 0 7}{space 1}{text:(35)}{space 1} [total_court_cases]21.sno = 0{p_end}
{p 0 7}{space 1}{text:(36)}{space 1} [total_court_cases]22.sno = 0{p_end}
{p 0 7}{space 1}{text:(37)}{space 1} [total_court_cases]23.sno = 0{p_end}
{p 0 7}{space 1}{text:(38)}{space 1} [total_court_cases]24.sno = 0{p_end}
{p 0 7}{space 1}{text:(39)}{space 1} [total_court_cases]25.sno = 0{p_end}
{p 0 7}{space 1}{text:(40)}{space 1} [total_court_cases]26.sno = 0{p_end}
{p 0 7}{space 1}{text:(41)}{space 1} [total_court_cases]27.sno = 0{p_end}
{p 0 7}{space 1}{text:(42)}{space 1} [total_court_cases]28.sno = 0{p_end}
{p 0 7}{space 1}{text:(43)}{space 1} [total_court_cases]29.sno = 0{p_end}
{p 0 7}{space 1}{text:(44)}{space 1} [total_court_cases]30.sno = 0{p_end}
{p 0 7}{space 1}{text:(45)}{space 1} [total_court_cases]31.sno = 0{p_end}
{p 0 7}{space 1}{text:(46)}{space 1} [total_court_cases]32.sno = 0{p_end}
{p 0 7}{space 1}{text:(47)}{space 1} [total_court_cases]33.sno = 0{p_end}
{p 0 7}{space 1}{text:(48)}{space 1} [total_court_cases]34.sno = 0{p_end}
{p 0 7}{space 1}{text:(49)}{space 1} [total_court_cases]35o.sno = 0{p_end}
{p 0 7}{space 1}{text:(50)}{space 1} [total_court_cases]36.sno = 0{p_end}
{p 0 7}{space 1}{text:(51)}{space 1} [total_court_cases]37.sno = 0{p_end}
{p 0 7}{space 1}{text:(52)}{space 1} [total_court_cases]38.sno = 0{p_end}
{p 0 7}{space 1}{text:(53)}{space 1} [total_court_cases]39.sno = 0{p_end}
{p 0 7}{space 1}{text:(54)}{space 1} [total_court_cases]40.sno = 0{p_end}
{p 0 7}{space 1}{text:(55)}{space 1} [total_court_cases]41.sno = 0{p_end}
{p 0 7}{space 1}{text:(56)}{space 1} [total_court_cases]42.sno = 0{p_end}
{p 0 7}{space 1}{text:(57)}{space 1} [total_court_cases]43.sno = 0{p_end}
{p 0 7}{space 1}{text:(58)}{space 1} [total_court_cases]44.sno = 0{p_end}
{p 0 7}{space 1}{text:(59)}{space 1} [total_court_cases]45.sno = 0{p_end}
{p 0 7}{space 1}{text:(60)}{space 1} [total_court_cases]46.sno = 0{p_end}
{p 0 7}{space 1}{text:(61)}{space 1} [total_court_cases]47.sno = 0{p_end}
{p 0 7}{space 1}{text:(62)}{space 1} [total_court_cases]48.sno = 0{p_end}
{p 0 7}{space 1}{text:(63)}{space 1} [total_court_cases]49.sno = 0{p_end}
{p 0 7}{space 1}{text:(64)}{space 1} [total_court_cases]50.sno = 0{p_end}
{p 0 7}{space 1}{text:(65)}{space 1} [total_court_cases]51.sno = 0{p_end}
{p 0 7}{space 1}{text:(66)}{space 1} [total_court_cases]52.sno = 0{p_end}
{p 0 7}{space 1}{text:(67)}{space 1} [total_court_cases]53.sno = 0{p_end}
{p 0 7}{space 1}{text:(68)}{space 1} [total_court_cases]54.sno = 0{p_end}
{p 0 7}{space 1}{text:(69)}{space 1} [total_court_cases]55.sno = 0{p_end}
{p 0 7}{space 1}{text:(70)}{space 1} [total_court_cases]56.sno = 0{p_end}
{p 0 7}{space 1}{text:(71)}{space 1} [total_court_cases]57.sno = 0{p_end}
{p 0 7}{space 1}{text:(72)}{space 1} [total_court_cases]58.sno = 0{p_end}
{p 0 7}{space 1}{text:(73)}{space 1} [total_court_cases]59.sno = 0{p_end}
{p 0 7}{space 1}{text:(74)}{space 1} [total_court_cases]60.sno = 0{p_end}
{p 0 7}{space 1}{text:(75)}{space 1} [total_court_cases]61.sno = 0{p_end}
{p 0 7}{space 1}{text:(76)}{space 1} [total_court_cases]62.sno = 0{p_end}
{p 0 7}{space 1}{text:(77)}{space 1} [total_court_cases]63.sno = 0{p_end}
{p 0 7}{space 1}{text:(78)}{space 1} [total_court_cases]64o.sno = 0{p_end}
{p 0 7}{space 1}{text:(79)}{space 1} [total_court_cases]65.sno = 0{p_end}
{p 0 7}{space 1}{text:(80)}{space 1} [total_court_cases]66.sno = 0{p_end}
{p 0 7}{space 1}{text:(81)}{space 1} [total_court_cases]67.sno = 0{p_end}
{p 0 7}{space 1}{text:(82)}{space 1} [total_court_cases]68.sno = 0{p_end}
{p 0 7}{space 1}{text:(83)}{space 1} [total_court_cases]69.sno = 0{p_end}
{p 0 7}{space 1}{text:(84)}{space 1} [total_court_cases]70o.sno = 0{p_end}
{p 0 7}{space 1}{text:(85)}{space 1} [total_court_cases]71o.sno = 0{p_end}
{p 0 7}{space 1}{text:(86)}{space 1} [total_court_cases]72o.sno = 0{p_end}
{p 0 7}{space 1}{text:(87)}{space 1} [total_court_cases]73o.sno = 0{p_end}
{p 0 7}{space 1}{text:(88)}{space 1} [total_court_cases]74.sno = 0{p_end}
{p 0 7}{space 1}{text:(89)}{space 1} [total_court_cases]75o.sno = 0{p_end}
       {txt}Constraint 15 dropped
       Constraint 49 dropped
       Constraint 78 dropped
       Constraint 84 dropped
       Constraint 85 dropped
       Constraint 86 dropped
       Constraint 87 dropped
       Constraint 89 dropped

           chi2( 81) ={res} 2113.13
         {txt}Prob > chi2 ={res}    0.0000

{txt}
{com}. test ln_cum_maoist_victims peoples_govt_active

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[total_court_cases]ln_cum_maoist_victims = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} [total_court_cases]peoples_govt_active = 0{p_end}

{txt}{col 12}chi2(  2) ={res}  100.47
{txt}{col 10}Prob > chi2 =  {res}  0.0000
{txt}
{com}. estat ic

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}       825{col 27}        .{col 38}-5206.448{col 49}    84{col 58}  10580.9{col 69} 10976.99
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. 
. 
. //Model specification testss
. //Civil cases
. quietly xtpoisson total_civil_cases lag_civil_cases  ln_cum_state_victims peoples_govt_active ln_pop percent_votes1991_1999_GAP ///
> litrate_1991_2001_GAP road_density_GAP year2002 hilli_region mountain_region region_east region_mid region_west region_farwest if year>1995 & year<2007, fe 
{txt}
{com}. 
. est store po_st_civil
{txt}
{com}. 
. quietly xtnbreg total_civil_cases lag_civil_cases  ln_cum_state_victims peoples_govt_active ln_pop percent_votes1991_1999_GAP   ///
> litrate_1991_2001_GAP road_density_GAP year2002 hilli_region mountain_region region_east region_mid region_west region_farwest i.sno if year>1995 & year<2007 
{txt}
{com}. 
. est store nb_st_civil 
{txt}
{com}. 
. quietly xtpoisson total_civil_cases lag_civil_cases  ln_cum_maoist_victims peoples_govt_active ln_pop percent_votes1991_1999_GAP        ///
> litrate_1991_2001_GAP road_density_GAP year2002 hilli_region mountain_region region_east region_mid region_west region_farwest if year>1995 & year<2007, fe  
{txt}
{com}. 
. est store po_mao_civil
{txt}
{com}. 
. quietly xtnbreg total_civil_cases lag_civil_cases  ln_cum_maoist_victims peoples_govt_active ln_pop percent_votes1991_1999_GAP  ///
> litrate_1991_2001_GAP road_density_GAP year2002 hilli_region mountain_region region_east region_mid region_west region_farwest i.sno if year>1995 & year<2007 
{txt}
{com}. 
. est store nb_mao_civil
{txt}
{com}. 
. //Criminal cases 
. quietly xtpoisson total_criminal_cases lag_criminal_cases ln_cum_state_victims peoples_govt_active ln_pop percent_votes1991_1999_GAP    ///
> litrate_1991_2001_GAP road_density_GAP year2002 hilli_region mountain_region region_east region_mid region_west region_farwest if year>1995 & year<2007, fe  
{txt}
{com}. 
. est store po_st_cri
{txt}
{com}. 
. quietly xtnbreg total_criminal_cases lag_criminal_cases ln_cum_state_victims peoples_govt_active ln_pop percent_votes1991_1999_GAP      ///
> litrate_1991_2001_GAP road_density_GAP year2002 hilli_region mountain_region region_east region_mid region_west region_farwest i.sno if year>1995 & year<2007 
{txt}
{com}. 
. est store nb_st_cri
{txt}
{com}. 
. quietly xtpoisson total_criminal_cases lag_criminal_cases ln_cum_maoist_victims peoples_govt_active ln_pop percent_votes1991_1999_GAP   ///
> litrate_1991_2001_GAP road_density_GAP year2002 hilli_region mountain_region region_east region_mid region_west region_farwest if year>1995 & year<2007, fe  
{txt}
{com}. 
. est store po_mao_cri
{txt}
{com}. 
. quietly xtnbreg total_criminal_cases lag_criminal_cases ln_cum_maoist_victims peoples_govt_active ln_pop percent_votes1991_1999_GAP     ///
> litrate_1991_2001_GAP road_density_GAP year2002 hilli_region mountain_region region_east region_mid region_west region_farwest i.sno if year>1995 & year<2007 
{txt}
{com}. 
. est store nb_mao_cri
{txt}
{com}.  
.  
. //Total Cases
. 
. quietly xtpoisson total_court_cases lag_total_cases ln_cum_state_victims peoples_govt_active ln_pop percent_votes1991_1999_GAP  ///
> litrate_1991_2001_GAP road_density_GAP year2002 hilli_region mountain_region region_east region_mid region_west region_farwest if year>1995 & year<2007, fe 
{txt}
{com}. est store po_st_total
{txt}
{com}.  
. 
. quietly xtnbreg total_court_cases lag_total_cases ln_cum_state_victims peoples_govt_active ln_pop percent_votes1991_1999_GAP    ///
> litrate_1991_2001_GAP road_density_GAP year2002 hilli_region mountain_region region_east region_mid region_west region_farwest i.sno if year>1995 & year<2007 
{txt}
{com}. 
. est store nb_st_total
{txt}
{com}. 
. quietly xtpoisson total_court_cases lag_total_cases ln_cum_maoist_victims peoples_govt_active ln_pop percent_votes1991_1999_GAP ///
> litrate_1991_2001_GAP road_density_GAP year2002 hilli_region mountain_region region_east region_mid region_west region_farwest if year>1995 & year<2007, fe 
{txt}
{com}. est store po_mao_total
{txt}
{com}. 
. quietly xtnbreg total_court_cases lag_total_cases ln_cum_maoist_victims peoples_govt_active ln_pop percent_votes1991_1999_GAP   ///
> litrate_1991_2001_GAP road_density_GAP year2002 hilli_region mountain_region region_east region_mid region_west region_farwest i.sno if year>1995 & year<2007 
{txt}
{com}. 
. est store nb_mao_total
{txt}
{com}. 
. //Model 1
. lrtest po_st_civil nb_st_civil, stats force 

{txt}Likelihood-ratio test{col 55}LR chi2({res}77{txt}){col 67}={res}  19126.87
{txt}(Assumption: {res}{stata est replay po_st_civil:po_st_civil}{txt} nested in {res}{stata est replay nb_st_civil:nb_st_civil}{txt}){col 55}Prob > chi2 = {res}   0.0000

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:{stata estimates replay po_st_civil:po_st_civil}}{col 14}{c |}{res}{col 16}       825{col 27}        .{col 38}-14307.09{col 49}     7{col 58} 28628.18{col 69} 28661.18
{txt}{ralign 12:{stata estimates replay nb_st_civil:nb_st_civil}}{col 14}{c |}{res}{col 16}       825{col 27}        .{col 38}-4743.652{col 49}    84{col 58} 9655.304{col 69}  10051.4
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. //Model 2
. 
. lrtest po_mao_civil nb_mao_civil, stats force

{txt}Likelihood-ratio test{col 55}LR chi2({res}77{txt}){col 67}={res}  19608.83
{txt}(Assumption: {res}{stata est replay po_mao_civil:po_mao_civil}{txt} nested in {res}{stata est replay nb_mao_civil:nb_mao_civil}{txt}){col 55}Prob > chi2 = {res}   0.0000

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:{stata estimates replay po_mao_civil:po_mao_civil}}{col 14}{c |}{res}{col 16}       825{col 27}        .{col 38}-14564.59{col 49}     7{col 58} 29143.18{col 69} 29176.18
{txt}{ralign 12:{stata estimates replay nb_mao_civil:nb_mao_civil}}{col 14}{c |}{res}{col 16}       825{col 27}        .{col 38}-4760.172{col 49}    84{col 58} 9688.343{col 69} 10084.44
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. //Model 3
. lrtest  po_st_cri nb_st_cri, stats force

{txt}Likelihood-ratio test{col 55}LR chi2({res}77{txt}){col 67}={res}  15888.89
{txt}(Assumption: {res}{stata est replay po_st_cri:po_st_cri}{txt} nested in {res}{stata est replay nb_st_cri:nb_st_cri}{txt}){col 55}Prob > chi2 = {res}   0.0000

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:{stata estimates replay po_st_cri:po_st_cri}}{col 14}{c |}{res}{col 16}       825{col 27}        .{col 38}-12488.85{col 49}     7{col 58} 24991.71{col 69} 25024.72
{txt}{ralign 12:{stata estimates replay nb_st_cri:nb_st_cri}}{col 14}{c |}{res}{col 16}       825{col 27}        .{col 38}-4544.407{col 49}    84{col 58} 9256.814{col 69} 9652.907
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. //Model 4
. lrtest  po_mao_cri nb_mao_cri, stats force

{txt}Likelihood-ratio test{col 55}LR chi2({res}77{txt}){col 67}={res}  16454.28
{txt}(Assumption: {res}{stata est replay po_mao_cri:po_mao_cri}{txt} nested in {res}{stata est replay nb_mao_cri:nb_mao_cri}{txt}){col 55}Prob > chi2 = {res}   0.0000

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:{stata estimates replay po_mao_cri:po_mao_cri}}{col 14}{c |}{res}{col 16}       825{col 27}        .{col 38}-12787.14{col 49}     7{col 58} 25588.28{col 69} 25621.29
{txt}{ralign 12:{stata estimates replay nb_mao_cri:nb_mao_cri}}{col 14}{c |}{res}{col 16}       825{col 27}        .{col 38}    -4560{col 49}    84{col 58}     9288{col 69} 9684.092
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. //Model 5
. lrtest  po_st_total nb_st_total, stats force

{txt}Likelihood-ratio test{col 55}LR chi2({res}77{txt}){col 67}={res}  29266.79
{txt}(Assumption: {res}{stata est replay po_st_total:po_st_total}{txt} nested in {res}{stata est replay nb_st_total:nb_st_total}{txt}){col 55}Prob > chi2 = {res}   0.0000

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:{stata estimates replay po_st_total:po_st_total}}{col 14}{c |}{res}{col 16}       825{col 27}        .{col 38}-19820.98{col 49}     7{col 58} 39655.95{col 69} 39688.96
{txt}{ralign 12:{stata estimates replay nb_st_total:nb_st_total}}{col 14}{c |}{res}{col 16}       825{col 27}        .{col 38}-5187.581{col 49}    84{col 58} 10543.16{col 69} 10939.25
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. //Model 6
. 
. lrtest  po_mao_total nb_mao_total, stats force

{txt}Likelihood-ratio test{col 55}LR chi2({res}77{txt}){col 67}={res}  30509.36
{txt}(Assumption: {res}{stata est replay po_mao_total:po_mao_total}{txt} nested in {res}{stata est replay nb_mao_total:nb_mao_total}{txt}){col 55}Prob > chi2 = {res}   0.0000

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:{stata estimates replay po_mao_total:po_mao_total}}{col 14}{c |}{res}{col 16}       825{col 27}        .{col 38}-20461.13{col 49}     7{col 58} 40936.25{col 69} 40969.26
{txt}{ralign 12:{stata estimates replay nb_mao_total:nb_mao_total}}{col 14}{c |}{res}{col 16}       825{col 27}        .{col 38}-5206.448{col 49}    84{col 58}  10580.9{col 69} 10976.99
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. 
. 
. ///Poission Fixed Effects Appendix Table 4a
> //Appendix Table with Poission specification 
. 
. //Civil cases
. xtpoisson total_civil_cases lag_civil_cases  ln_cum_state_victims peoples_govt_active ln_pop percent_votes1991_1999_GAP ///
> litrate_1991_2001_GAP road_density_GAP year2002 hilli_region mountain_region region_east region_mid region_west region_farwest if year>1995 & year<2007, fe 
{txt}note: road_density_GAP dropped because it is constant within group
note: hilli_region dropped because it is constant within group
note: mountain_region dropped because it is constant within group
note: region_east dropped because it is constant within group
note: region_mid dropped because it is constant within group
note: region_west dropped because it is constant within group
note: region_farwest dropped because it is constant within group
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-23116.782}  
Iteration 1:{space 3}log likelihood = {res:-14333.897}  
Iteration 2:{space 3}log likelihood = {res:-14307.089}  
Iteration 3:{space 3}log likelihood = {res:-14307.088}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       825
{txt}Group variable: {res}sno{col 49}{txt}Number of groups{col 67}={col 69}{res}        75

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        11
{txt}{col 63}avg{col 67}={col 69}{res}      11.0
{txt}{col 63}max{col 67}={col 69}{res}        11

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res} 16955.28
{txt}Log likelihood  = {res}-14307.088{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         total_civil_cases{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}lag_civil_cases {c |}{col 28}{res}{space 2} .0001406{col 40}{space 2} 4.07e-06{col 51}{space 1}   34.59{col 60}{space 3}0.000{col 68}{space 4} .0001327{col 81}{space 3} .0001486
{txt}{space 6}ln_cum_state_victims {c |}{col 28}{res}{space 2}-.0963266{col 40}{space 2} .0022643{col 51}{space 1}  -42.54{col 60}{space 3}0.000{col 68}{space 4}-.1007645{col 81}{space 3}-.0918886
{txt}{space 7}peoples_govt_active {c |}{col 28}{res}{space 2}-.2834067{col 40}{space 2} .0053064{col 51}{space 1}  -53.41{col 60}{space 3}0.000{col 68}{space 4} -.293807{col 81}{space 3}-.2730064
{txt}{space 20}ln_pop {c |}{col 28}{res}{space 2} .3427215{col 40}{space 2} .0308281{col 51}{space 1}   11.12{col 60}{space 3}0.000{col 68}{space 4} .2822996{col 81}{space 3} .4031434
{txt}percent_votes1991_1999_GAP {c |}{col 28}{res}{space 2} .0032301{col 40}{space 2} .0008653{col 51}{space 1}    3.73{col 60}{space 3}0.000{col 68}{space 4} .0015341{col 81}{space 3} .0049261
{txt}{space 5}litrate_1991_2001_GAP {c |}{col 28}{res}{space 2} .0023166{col 40}{space 2} .0005354{col 51}{space 1}    4.33{col 60}{space 3}0.000{col 68}{space 4} .0012672{col 81}{space 3}  .003366
{txt}{space 18}year2002 {c |}{col 28}{res}{space 2} .2224935{col 40}{space 2} .0061301{col 51}{space 1}   36.30{col 60}{space 3}0.000{col 68}{space 4} .2104787{col 81}{space 3} .2345083
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. xtpoisson total_civil_cases lag_civil_cases  ln_cum_maoist_victims peoples_govt_active ln_pop percent_votes1991_1999_GAP        ///
> litrate_1991_2001_GAP road_density_GAP year2002 hilli_region mountain_region region_east region_mid region_west region_farwest if year>1995 & year<2007, fe  
{txt}note: road_density_GAP dropped because it is constant within group
note: hilli_region dropped because it is constant within group
note: mountain_region dropped because it is constant within group
note: region_east dropped because it is constant within group
note: region_mid dropped because it is constant within group
note: region_west dropped because it is constant within group
note: region_farwest dropped because it is constant within group
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-23116.782}  
Iteration 1:{space 3}log likelihood = {res:-14595.331}  
Iteration 2:{space 3}log likelihood = {res:-14564.588}  
Iteration 3:{space 3}log likelihood = {res:-14564.588}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       825
{txt}Group variable: {res}sno{col 49}{txt}Number of groups{col 67}={col 69}{res}        75

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        11
{txt}{col 63}avg{col 67}={col 69}{res}      11.0
{txt}{col 63}max{col 67}={col 69}{res}        11

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res} 16255.42
{txt}Log likelihood  = {res}-14564.588{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         total_civil_cases{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}lag_civil_cases {c |}{col 28}{res}{space 2} .0001475{col 40}{space 2} 4.07e-06{col 51}{space 1}   36.21{col 60}{space 3}0.000{col 68}{space 4} .0001395{col 81}{space 3} .0001554
{txt}{space 5}ln_cum_maoist_victims {c |}{col 28}{res}{space 2}-.0952481{col 40}{space 2} .0026453{col 51}{space 1}  -36.01{col 60}{space 3}0.000{col 68}{space 4}-.1004329{col 81}{space 3}-.0900634
{txt}{space 7}peoples_govt_active {c |}{col 28}{res}{space 2}-.2809426{col 40}{space 2} .0055353{col 51}{space 1}  -50.76{col 60}{space 3}0.000{col 68}{space 4}-.2917915{col 81}{space 3}-.2700937
{txt}{space 20}ln_pop {c |}{col 28}{res}{space 2} .2209338{col 40}{space 2} .0308495{col 51}{space 1}    7.16{col 60}{space 3}0.000{col 68}{space 4} .1604698{col 81}{space 3} .2813977
{txt}percent_votes1991_1999_GAP {c |}{col 28}{res}{space 2} .0011197{col 40}{space 2} .0008638{col 51}{space 1}    1.30{col 60}{space 3}0.195{col 68}{space 4}-.0005733{col 81}{space 3} .0028126
{txt}{space 5}litrate_1991_2001_GAP {c |}{col 28}{res}{space 2} .0027227{col 40}{space 2} .0005362{col 51}{space 1}    5.08{col 60}{space 3}0.000{col 68}{space 4} .0016718{col 81}{space 3} .0037737
{txt}{space 18}year2002 {c |}{col 28}{res}{space 2} .2260722{col 40}{space 2} .0064887{col 51}{space 1}   34.84{col 60}{space 3}0.000{col 68}{space 4} .2133545{col 81}{space 3} .2387899
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. //Criminal cases 
. xtpoisson total_criminal_cases lag_criminal_cases ln_cum_state_victims peoples_govt_active ln_pop percent_votes1991_1999_GAP    ///
> litrate_1991_2001_GAP road_density_GAP year2002 hilli_region mountain_region region_east region_mid region_west region_farwest if year>1995 & year<2007, fe  
{txt}note: road_density_GAP dropped because it is constant within group
note: hilli_region dropped because it is constant within group
note: mountain_region dropped because it is constant within group
note: region_east dropped because it is constant within group
note: region_mid dropped because it is constant within group
note: region_west dropped because it is constant within group
note: region_farwest dropped because it is constant within group
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-21789.074}  
Iteration 1:{space 3}log likelihood = {res:-12523.263}  
Iteration 2:{space 3}log likelihood = {res:-12488.855}  
Iteration 3:{space 3}log likelihood = {res:-12488.854}  
Iteration 4:{space 3}log likelihood = {res:-12488.854}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       825
{txt}Group variable: {res}sno{col 49}{txt}Number of groups{col 67}={col 69}{res}        75

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        11
{txt}{col 63}avg{col 67}={col 69}{res}      11.0
{txt}{col 63}max{col 67}={col 69}{res}        11

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res} 17722.05
{txt}Log likelihood  = {res}-12488.854{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      total_criminal_cases{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}lag_criminal_cases {c |}{col 28}{res}{space 2}   .00022{col 40}{space 2} 6.52e-06{col 51}{space 1}   33.75{col 60}{space 3}0.000{col 68}{space 4} .0002072{col 81}{space 3} .0002328
{txt}{space 6}ln_cum_state_victims {c |}{col 28}{res}{space 2}-.0961548{col 40}{space 2} .0028882{col 51}{space 1}  -33.29{col 60}{space 3}0.000{col 68}{space 4}-.1018157{col 81}{space 3} -.090494
{txt}{space 7}peoples_govt_active {c |}{col 28}{res}{space 2}-.3019246{col 40}{space 2} .0072654{col 51}{space 1}  -41.56{col 60}{space 3}0.000{col 68}{space 4}-.3161646{col 81}{space 3}-.2876846
{txt}{space 20}ln_pop {c |}{col 28}{res}{space 2} .5468256{col 40}{space 2} .0380912{col 51}{space 1}   14.36{col 60}{space 3}0.000{col 68}{space 4} .4721683{col 81}{space 3} .6214829
{txt}percent_votes1991_1999_GAP {c |}{col 28}{res}{space 2} .0059511{col 40}{space 2} .0010094{col 51}{space 1}    5.90{col 60}{space 3}0.000{col 68}{space 4} .0039727{col 81}{space 3} .0079295
{txt}{space 5}litrate_1991_2001_GAP {c |}{col 28}{res}{space 2} .0027739{col 40}{space 2}  .000699{col 51}{space 1}    3.97{col 60}{space 3}0.000{col 68}{space 4} .0014038{col 81}{space 3} .0041439
{txt}{space 18}year2002 {c |}{col 28}{res}{space 2} .0491274{col 40}{space 2} .0084632{col 51}{space 1}    5.80{col 60}{space 3}0.000{col 68}{space 4} .0325398{col 81}{space 3}  .065715
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. xtpoisson total_criminal_cases lag_criminal_cases ln_cum_maoist_victims peoples_govt_active ln_pop percent_votes1991_1999_GAP   ///
> litrate_1991_2001_GAP road_density_GAP year2002 hilli_region mountain_region region_east region_mid region_west region_farwest if year>1995 & year<2007, fe  
{txt}note: road_density_GAP dropped because it is constant within group
note: hilli_region dropped because it is constant within group
note: mountain_region dropped because it is constant within group
note: region_east dropped because it is constant within group
note: region_mid dropped because it is constant within group
note: region_west dropped because it is constant within group
note: region_farwest dropped because it is constant within group
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-21789.074}  
Iteration 1:{space 3}log likelihood = {res:-12821.662}  
Iteration 2:{space 3}log likelihood = {res:-12787.142}  
Iteration 3:{space 3}log likelihood = {res: -12787.14}  
Iteration 4:{space 3}log likelihood = {res: -12787.14}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       825
{txt}Group variable: {res}sno{col 49}{txt}Number of groups{col 67}={col 69}{res}        75

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        11
{txt}{col 63}avg{col 67}={col 69}{res}      11.0
{txt}{col 63}max{col 67}={col 69}{res}        11

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res} 17080.60
{txt}Log likelihood  = {res} -12787.14{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      total_criminal_cases{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}lag_criminal_cases {c |}{col 28}{res}{space 2} .0002279{col 40}{space 2} 6.55e-06{col 51}{space 1}   34.78{col 60}{space 3}0.000{col 68}{space 4} .0002151{col 81}{space 3} .0002408
{txt}{space 5}ln_cum_maoist_victims {c |}{col 28}{res}{space 2}-.0782601{col 40}{space 2} .0034486{col 51}{space 1}  -22.69{col 60}{space 3}0.000{col 68}{space 4}-.0850193{col 81}{space 3}-.0715009
{txt}{space 7}peoples_govt_active {c |}{col 28}{res}{space 2}-.3173286{col 40}{space 2} .0075506{col 51}{space 1}  -42.03{col 60}{space 3}0.000{col 68}{space 4}-.3321275{col 81}{space 3}-.3025298
{txt}{space 20}ln_pop {c |}{col 28}{res}{space 2} .3319681{col 40}{space 2} .0385882{col 51}{space 1}    8.60{col 60}{space 3}0.000{col 68}{space 4} .2563365{col 81}{space 3} .4075996
{txt}percent_votes1991_1999_GAP {c |}{col 28}{res}{space 2} .0042643{col 40}{space 2} .0010095{col 51}{space 1}    4.22{col 60}{space 3}0.000{col 68}{space 4} .0022858{col 81}{space 3} .0062429
{txt}{space 5}litrate_1991_2001_GAP {c |}{col 28}{res}{space 2}  .003399{col 40}{space 2} .0007019{col 51}{space 1}    4.84{col 60}{space 3}0.000{col 68}{space 4} .0020233{col 81}{space 3} .0047748
{txt}{space 18}year2002 {c |}{col 28}{res}{space 2} .0175013{col 40}{space 2} .0087519{col 51}{space 1}    2.00{col 60}{space 3}0.046{col 68}{space 4} .0003479{col 81}{space 3} .0346547
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. //Total Cases
. 
. xtpoisson total_court_cases lag_total_cases ln_cum_state_victims peoples_govt_active ln_pop percent_votes1991_1999_GAP  ///
> litrate_1991_2001_GAP road_density_GAP year2002 hilli_region mountain_region region_east region_mid region_west region_farwest if year>1995 & year<2007, fe 
{txt}note: road_density_GAP dropped because it is constant within group
note: hilli_region dropped because it is constant within group
note: mountain_region dropped because it is constant within group
note: region_east dropped because it is constant within group
note: region_mid dropped because it is constant within group
note: region_west dropped because it is constant within group
note: region_farwest dropped because it is constant within group
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-37080.569}  
Iteration 1:{space 3}log likelihood = {res:-19871.874}  
Iteration 2:{space 3}log likelihood = {res:-19820.977}  
Iteration 3:{space 3}log likelihood = {res:-19820.976}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       825
{txt}Group variable: {res}sno{col 49}{txt}Number of groups{col 67}={col 69}{res}        75

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        11
{txt}{col 63}avg{col 67}={col 69}{res}      11.0
{txt}{col 63}max{col 67}={col 69}{res}        11

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res} 33120.03
{txt}Log likelihood  = {res}-19820.976{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         total_court_cases{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}lag_total_cases {c |}{col 28}{res}{space 2} .0000989{col 40}{space 2} 2.15e-06{col 51}{space 1}   46.11{col 60}{space 3}0.000{col 68}{space 4} .0000947{col 81}{space 3} .0001031
{txt}{space 6}ln_cum_state_victims {c |}{col 28}{res}{space 2}-.0972526{col 40}{space 2} .0017867{col 51}{space 1}  -54.43{col 60}{space 3}0.000{col 68}{space 4}-.1007545{col 81}{space 3}-.0937507
{txt}{space 7}peoples_govt_active {c |}{col 28}{res}{space 2}-.2865095{col 40}{space 2} .0042854{col 51}{space 1}  -66.86{col 60}{space 3}0.000{col 68}{space 4}-.2949088{col 81}{space 3}-.2781103
{txt}{space 20}ln_pop {c |}{col 28}{res}{space 2}  .440323{col 40}{space 2} .0237505{col 51}{space 1}   18.54{col 60}{space 3}0.000{col 68}{space 4} .3937728{col 81}{space 3} .4868732
{txt}percent_votes1991_1999_GAP {c |}{col 28}{res}{space 2} .0029627{col 40}{space 2} .0006581{col 51}{space 1}    4.50{col 60}{space 3}0.000{col 68}{space 4} .0016729{col 81}{space 3} .0042525
{txt}{space 5}litrate_1991_2001_GAP {c |}{col 28}{res}{space 2} .0027581{col 40}{space 2} .0004244{col 51}{space 1}    6.50{col 60}{space 3}0.000{col 68}{space 4} .0019263{col 81}{space 3}   .00359
{txt}{space 18}year2002 {c |}{col 28}{res}{space 2} .1671827{col 40}{space 2} .0049672{col 51}{space 1}   33.66{col 60}{space 3}0.000{col 68}{space 4} .1574471{col 81}{space 3} .1769183
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. xtpoisson total_court_cases lag_total_cases ln_cum_maoist_victims peoples_govt_active ln_pop percent_votes1991_1999_GAP ///
> litrate_1991_2001_GAP road_density_GAP year2002 hilli_region mountain_region region_east region_mid region_west region_farwest if year>1995 & year<2007, fe 
{txt}note: road_density_GAP dropped because it is constant within group
note: hilli_region dropped because it is constant within group
note: mountain_region dropped because it is constant within group
note: region_east dropped because it is constant within group
note: region_mid dropped because it is constant within group
note: region_west dropped because it is constant within group
note: region_farwest dropped because it is constant within group
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-37080.569}  
Iteration 1:{space 3}log likelihood = {res:-20518.452}  
Iteration 2:{space 3}log likelihood = {res:-20461.128}  
Iteration 3:{space 3}log likelihood = {res:-20461.127}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       825
{txt}Group variable: {res}sno{col 49}{txt}Number of groups{col 67}={col 69}{res}        75

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        11
{txt}{col 63}avg{col 67}={col 69}{res}      11.0
{txt}{col 63}max{col 67}={col 69}{res}        11

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res} 31600.41
{txt}Log likelihood  = {res}-20461.127{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         total_court_cases{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}lag_total_cases {c |}{col 28}{res}{space 2}  .000104{col 40}{space 2} 2.15e-06{col 51}{space 1}   48.35{col 60}{space 3}0.000{col 68}{space 4} .0000998{col 81}{space 3} .0001082
{txt}{space 5}ln_cum_maoist_victims {c |}{col 28}{res}{space 2} -.086523{col 40}{space 2}  .002107{col 51}{space 1}  -41.06{col 60}{space 3}0.000{col 68}{space 4}-.0906526{col 81}{space 3}-.0823933
{txt}{space 7}peoples_govt_active {c |}{col 28}{res}{space 2}-.2939815{col 40}{space 2} .0044662{col 51}{space 1}  -65.82{col 60}{space 3}0.000{col 68}{space 4}-.3027351{col 81}{space 3} -.285228
{txt}{space 20}ln_pop {c |}{col 28}{res}{space 2}  .259275{col 40}{space 2} .0238665{col 51}{space 1}   10.86{col 60}{space 3}0.000{col 68}{space 4} .2124975{col 81}{space 3} .3060524
{txt}percent_votes1991_1999_GAP {c |}{col 28}{res}{space 2} .0009007{col 40}{space 2} .0006573{col 51}{space 1}    1.37{col 60}{space 3}0.171{col 68}{space 4}-.0003875{col 81}{space 3}  .002189
{txt}{space 5}litrate_1991_2001_GAP {c |}{col 28}{res}{space 2}  .003236{col 40}{space 2} .0004255{col 51}{space 1}    7.61{col 60}{space 3}0.000{col 68}{space 4} .0024021{col 81}{space 3} .0040699
{txt}{space 18}year2002 {c |}{col 28}{res}{space 2} .1536395{col 40}{space 2} .0052167{col 51}{space 1}   29.45{col 60}{space 3}0.000{col 68}{space 4} .1434149{col 81}{space 3} .1638641
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. //Appendix Table 4b. include absent population, exclude pop (log)
. //Civil cases
. xtnbreg total_civil_cases lag_civil_cases  ln_cum_state_victims peoples_govt_active ln_abs_total2001 percent_votes1991_1999_GAP ///
> litrate_1991_2001_GAP road_density_GAP year2002  hilli_region mountain_region region_east region_mid region_west region_farwest i.sno if year>1995 & year<2007 
{txt}note: 35.sno omitted because of collinearity
note: 64.sno omitted because of collinearity
note: 70.sno omitted because of collinearity
note: 71.sno omitted because of collinearity
note: 72.sno omitted because of collinearity
note: 73.sno omitted because of collinearity
note: 74.sno omitted because of collinearity
note: 75.sno omitted because of collinearity

Fitting negative binomial (constant dispersion) model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1202182.6}  
Iteration 1:{space 3}log likelihood = {res:-433064.31}  
Iteration 2:{space 3}log likelihood = {res:-225951.37}  
Iteration 3:{space 3}log likelihood = {res: -18875.61}  
Iteration 4:{space 3}log likelihood = {res:    -14742}  
Iteration 5:{space 3}log likelihood = {res:-14732.814}  
Iteration 6:{space 3}log likelihood = {res:-14732.814}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-220243.62}  
Iteration 1:{space 3}log likelihood = {res:-18470.292}  
Iteration 2:{space 3}log likelihood = {res:-7456.0091}  (backed up)
Iteration 3:{space 3}log likelihood = {res:-6120.0465}  
Iteration 4:{space 3}log likelihood = {res:-6050.9396}  
Iteration 5:{space 3}log likelihood = {res:-6046.5021}  
Iteration 6:{space 3}log likelihood = {res:-6046.4926}  
Iteration 7:{space 3}log likelihood = {res:-6046.4926}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-6046.4926}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-5875.6232}  (not concave)
Iteration 2:{space 3}log likelihood = {res:-5683.3292}  (not concave)
Iteration 3:{space 3}log likelihood = {res:-5305.8505}  (not concave)
Iteration 4:{space 3}log likelihood = {res:-5111.0576}  
Iteration 5:{space 3}log likelihood = {res: -4850.696}  
Iteration 6:{space 3}log likelihood = {res:-4748.3556}  
Iteration 7:{space 3}log likelihood = {res:-4727.7479}  
Iteration 8:{space 3}log likelihood = {res:-4727.1986}  
Iteration 9:{space 3}log likelihood = {res:-4727.1976}  
Iteration 10:{space 2}log likelihood = {res:-4727.1976}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-9424.0145}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-5828.2768}  (not concave)
Iteration 2:{space 3}log likelihood = {res:-4988.0521}  (not concave)
Iteration 3:{space 3}log likelihood = {res:-4866.4561}  
Iteration 4:{space 3}log likelihood = {res:-4843.0973}  (not concave)
Iteration 5:{space 3}log likelihood = {res:-4772.7832}  (not concave)
Iteration 6:{space 3}log likelihood = {res:-4769.2154}  (not concave)
Iteration 7:{space 3}log likelihood = {res: -4766.705}  (not concave)
Iteration 8:{space 3}log likelihood = {res:-4764.6581}  (not concave)
Iteration 9:{space 3}log likelihood = {res:-4762.7395}  (not concave)
Iteration 10:{space 2}log likelihood = {res:-4761.6626}  
Iteration 11:{space 2}log likelihood = {res:-4757.4053}  
Iteration 12:{space 2}log likelihood = {res:-4750.1928}  
Iteration 13:{space 2}log likelihood = {res:-4749.9829}  
Iteration 14:{space 2}log likelihood = {res:-4749.9821}  
Iteration 15:{space 2}log likelihood = {res:-4749.9821}  
{res}
{txt}Random-effects negative binomial regression{col 49}Number of obs{col 67}={col 69}{res}       825
{txt}Group variable: {res}sno{col 49}{txt}Number of groups{col 67}={col 69}{res}        75

{txt}Random effects u_i ~ {res}Beta{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        11
{txt}{col 63}avg{col 67}={col 69}{res}      11.0
{txt}{col 63}max{col 67}={col 69}{res}        11

{txt}{col 49}Wald chi2({res}80{txt}){col 67}={col 70}{res}  1994.79
{txt}Log likelihood  = {res}-4749.9821{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         total_civil_cases{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}lag_civil_cases {c |}{col 28}{res}{space 2} .0001284{col 40}{space 2} .0000354{col 51}{space 1}    3.63{col 60}{space 3}0.000{col 68}{space 4}  .000059{col 81}{space 3} .0001978
{txt}{space 6}ln_cum_state_victims {c |}{col 28}{res}{space 2}-.0731106{col 40}{space 2}  .010639{col 51}{space 1}   -6.87{col 60}{space 3}0.000{col 68}{space 4}-.0939626{col 81}{space 3}-.0522586
{txt}{space 7}peoples_govt_active {c |}{col 28}{res}{space 2}-.2832807{col 40}{space 2} .0384341{col 51}{space 1}   -7.37{col 60}{space 3}0.000{col 68}{space 4}-.3586101{col 81}{space 3}-.2079513
{txt}{space 10}ln_abs_total2001 {c |}{col 28}{res}{space 2} .6309376{col 40}{space 2} .4505344{col 51}{space 1}    1.40{col 60}{space 3}0.161{col 68}{space 4}-.2520937{col 81}{space 3} 1.513969
{txt}percent_votes1991_1999_GAP {c |}{col 28}{res}{space 2} .0048388{col 40}{space 2} .0049081{col 51}{space 1}    0.99{col 60}{space 3}0.324{col 68}{space 4}-.0047808{col 81}{space 3} .0144584
{txt}{space 5}litrate_1991_2001_GAP {c |}{col 28}{res}{space 2} .0010067{col 40}{space 2} .0040153{col 51}{space 1}    0.25{col 60}{space 3}0.802{col 68}{space 4}-.0068631{col 81}{space 3} .0088766
{txt}{space 10}road_density_GAP {c |}{col 28}{res}{space 2}-18.11252{col 40}{space 2} 14.04011{col 51}{space 1}   -1.29{col 60}{space 3}0.197{col 68}{space 4}-45.63063{col 81}{space 3} 9.405588
{txt}{space 18}year2002 {c |}{col 28}{res}{space 2} .1461125{col 40}{space 2} .0427333{col 51}{space 1}    3.42{col 60}{space 3}0.001{col 68}{space 4} .0623568{col 81}{space 3} .2298682
{txt}{space 14}hilli_region {c |}{col 28}{res}{space 2}-2.755553{col 40}{space 2} .5341107{col 51}{space 1}   -5.16{col 60}{space 3}0.000{col 68}{space 4}-3.802391{col 81}{space 3}-1.708715
{txt}{space 11}mountain_region {c |}{col 28}{res}{space 2}-3.745018{col 40}{space 2}  1.70423{col 51}{space 1}   -2.20{col 60}{space 3}0.028{col 68}{space 4}-7.085248{col 81}{space 3}-.4047892
{txt}{space 15}region_east {c |}{col 28}{res}{space 2} 3.630678{col 40}{space 2}  3.28034{col 51}{space 1}    1.11{col 60}{space 3}0.268{col 68}{space 4} -2.79867{col 81}{space 3} 10.06003
{txt}{space 16}region_mid {c |}{col 28}{res}{space 2}-2.424716{col 40}{space 2} 1.130696{col 51}{space 1}   -2.14{col 60}{space 3}0.032{col 68}{space 4} -4.64084{col 81}{space 3}-.2085922
{txt}{space 15}region_west {c |}{col 28}{res}{space 2}-1.806866{col 40}{space 2} .7815359{col 51}{space 1}   -2.31{col 60}{space 3}0.021{col 68}{space 4}-3.338648{col 81}{space 3} -.275084
{txt}{space 12}region_farwest {c |}{col 28}{res}{space 2} .1539353{col 40}{space 2} 1.505159{col 51}{space 1}    0.10{col 60}{space 3}0.919{col 68}{space 4}-2.796121{col 81}{space 3} 3.103992
{txt}{space 26} {c |}
{space 23}sno {c |}
{space 24}2  {c |}{col 28}{res}{space 2}  -.35173{col 40}{space 2} 1.962645{col 51}{space 1}   -0.18{col 60}{space 3}0.858{col 68}{space 4}-4.198444{col 81}{space 3} 3.494984
{txt}{space 24}3  {c |}{col 28}{res}{space 2}-1.880296{col 40}{space 2} 3.011381{col 51}{space 1}   -0.62{col 60}{space 3}0.532{col 68}{space 4}-7.782494{col 81}{space 3} 4.021903
{txt}{space 24}4  {c |}{col 28}{res}{space 2}-3.052954{col 40}{space 2} 3.322256{col 51}{space 1}   -0.92{col 60}{space 3}0.358{col 68}{space 4}-9.564457{col 81}{space 3} 3.458548
{txt}{space 24}5  {c |}{col 28}{res}{space 2}-.2448458{col 40}{space 2} .5988241{col 51}{space 1}   -0.41{col 60}{space 3}0.683{col 68}{space 4}-1.418519{col 81}{space 3} .9288278
{txt}{space 24}6  {c |}{col 28}{res}{space 2} .0859694{col 40}{space 2} .6165644{col 51}{space 1}    0.14{col 60}{space 3}0.889{col 68}{space 4}-1.122475{col 81}{space 3} 1.294413
{txt}{space 24}7  {c |}{col 28}{res}{space 2}-.3206208{col 40}{space 2} 1.956529{col 51}{space 1}   -0.16{col 60}{space 3}0.870{col 68}{space 4}-4.155347{col 81}{space 3} 3.514106
{txt}{space 24}8  {c |}{col 28}{res}{space 2} -3.32099{col 40}{space 2} 3.902378{col 51}{space 1}   -0.85{col 60}{space 3}0.395{col 68}{space 4}-10.96951{col 81}{space 3}  4.32753
{txt}{space 24}9  {c |}{col 28}{res}{space 2}-5.181627{col 40}{space 2} 4.919602{col 51}{space 1}   -1.05{col 60}{space 3}0.292{col 68}{space 4}-14.82387{col 81}{space 3} 4.460616
{txt}{space 23}10  {c |}{col 28}{res}{space 2}-4.700087{col 40}{space 2} 3.361134{col 51}{space 1}   -1.40{col 60}{space 3}0.162{col 68}{space 4}-11.28779{col 81}{space 3} 1.887614
{txt}{space 23}11  {c |}{col 28}{res}{space 2}-2.156735{col 40}{space 2}  1.94106{col 51}{space 1}   -1.11{col 60}{space 3}0.267{col 68}{space 4}-5.961142{col 81}{space 3} 1.647672
{txt}{space 23}12  {c |}{col 28}{res}{space 2}-1.668409{col 40}{space 2} 1.684002{col 51}{space 1}   -0.99{col 60}{space 3}0.322{col 68}{space 4}-4.968991{col 81}{space 3} 1.632173
{txt}{space 23}13  {c |}{col 28}{res}{space 2} -1.01361{col 40}{space 2} 3.498453{col 51}{space 1}   -0.29{col 60}{space 3}0.772{col 68}{space 4}-7.870451{col 81}{space 3} 5.843231
{txt}{space 23}14  {c |}{col 28}{res}{space 2} -5.75274{col 40}{space 2} 4.977016{col 51}{space 1}   -1.16{col 60}{space 3}0.248{col 68}{space 4}-15.50751{col 81}{space 3} 4.002031
{txt}{space 23}15  {c |}{col 28}{res}{space 2}-3.404492{col 40}{space 2}  4.35957{col 51}{space 1}   -0.78{col 60}{space 3}0.435{col 68}{space 4}-11.94909{col 81}{space 3} 5.140109
{txt}{space 23}16  {c |}{col 28}{res}{space 2}-4.734104{col 40}{space 2} 3.378377{col 51}{space 1}   -1.40{col 60}{space 3}0.161{col 68}{space 4} -11.3556{col 81}{space 3} 1.887393
{txt}{space 23}17  {c |}{col 28}{res}{space 2} 9.946909{col 40}{space 2}  6.65651{col 51}{space 1}    1.49{col 60}{space 3}0.135{col 68}{space 4}-3.099611{col 81}{space 3} 22.99343
{txt}{space 23}18  {c |}{col 28}{res}{space 2} 7.848323{col 40}{space 2} 5.176923{col 51}{space 1}    1.52{col 60}{space 3}0.130{col 68}{space 4}-2.298259{col 81}{space 3} 17.99491
{txt}{space 23}19  {c |}{col 28}{res}{space 2} 7.773394{col 40}{space 2} 4.390787{col 51}{space 1}    1.77{col 60}{space 3}0.077{col 68}{space 4}-.8323893{col 81}{space 3} 16.37918
{txt}{space 23}20  {c |}{col 28}{res}{space 2} 3.298252{col 40}{space 2} 1.324822{col 51}{space 1}    2.49{col 60}{space 3}0.013{col 68}{space 4} .7016489{col 81}{space 3} 5.894855
{txt}{space 23}21  {c |}{col 28}{res}{space 2} 2.397651{col 40}{space 2} 1.484871{col 51}{space 1}    1.61{col 60}{space 3}0.106{col 68}{space 4}-.5126427{col 81}{space 3} 5.307944
{txt}{space 23}22  {c |}{col 28}{res}{space 2} 3.734673{col 40}{space 2} 2.234536{col 51}{space 1}    1.67{col 60}{space 3}0.095{col 68}{space 4}-.6449375{col 81}{space 3} 8.114283
{txt}{space 23}23  {c |}{col 28}{res}{space 2} 4.029461{col 40}{space 2}  1.79208{col 51}{space 1}    2.25{col 60}{space 3}0.025{col 68}{space 4} .5170485{col 81}{space 3} 7.541873
{txt}{space 23}24  {c |}{col 28}{res}{space 2} 5.320622{col 40}{space 2} 2.636215{col 51}{space 1}    2.02{col 60}{space 3}0.044{col 68}{space 4} .1537343{col 81}{space 3} 10.48751
{txt}{space 23}25  {c |}{col 28}{res}{space 2} 4.795566{col 40}{space 2} 2.356956{col 51}{space 1}    2.03{col 60}{space 3}0.042{col 68}{space 4} .1760177{col 81}{space 3} 9.415115
{txt}{space 23}26  {c |}{col 28}{res}{space 2} 5.578419{col 40}{space 2} 3.734315{col 51}{space 1}    1.49{col 60}{space 3}0.135{col 68}{space 4}-1.740703{col 81}{space 3} 12.89754
{txt}{space 23}27  {c |}{col 28}{res}{space 2} 5.535486{col 40}{space 2} 1.308447{col 51}{space 1}    4.23{col 60}{space 3}0.000{col 68}{space 4} 2.970977{col 81}{space 3} 8.099996
{txt}{space 23}28  {c |}{col 28}{res}{space 2} 19.19672{col 40}{space 2}  11.0143{col 51}{space 1}    1.74{col 60}{space 3}0.081{col 68}{space 4}-2.390916{col 81}{space 3} 40.78435
{txt}{space 23}29  {c |}{col 28}{res}{space 2} 30.71862{col 40}{space 2} 20.34571{col 51}{space 1}    1.51{col 60}{space 3}0.131{col 68}{space 4}-9.158237{col 81}{space 3} 70.59548
{txt}{space 23}30  {c |}{col 28}{res}{space 2} 39.85344{col 40}{space 2} 27.27281{col 51}{space 1}    1.46{col 60}{space 3}0.144{col 68}{space 4}-13.60028{col 81}{space 3} 93.30716
{txt}{space 23}31  {c |}{col 28}{res}{space 2} 9.153264{col 40}{space 2}  3.15326{col 51}{space 1}    2.90{col 60}{space 3}0.004{col 68}{space 4} 2.972988{col 81}{space 3} 15.33354
{txt}{space 23}32  {c |}{col 28}{res}{space 2}  3.99522{col 40}{space 2} 1.580006{col 51}{space 1}    2.53{col 60}{space 3}0.011{col 68}{space 4} .8984649{col 81}{space 3} 7.091976
{txt}{space 23}33  {c |}{col 28}{res}{space 2} .6962331{col 40}{space 2} 1.322617{col 51}{space 1}    0.53{col 60}{space 3}0.599{col 68}{space 4}-1.896049{col 81}{space 3} 3.288516
{txt}{space 23}34  {c |}{col 28}{res}{space 2} 6.492458{col 40}{space 2}  2.47686{col 51}{space 1}    2.62{col 60}{space 3}0.009{col 68}{space 4} 1.637902{col 81}{space 3} 11.34701
{txt}{space 23}35  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}36  {c |}{col 28}{res}{space 2}  6.22492{col 40}{space 2} 2.060498{col 51}{space 1}    3.02{col 60}{space 3}0.003{col 68}{space 4} 2.186418{col 81}{space 3} 10.26342
{txt}{space 23}37  {c |}{col 28}{res}{space 2} .5559895{col 40}{space 2} 2.034199{col 51}{space 1}    0.27{col 60}{space 3}0.785{col 68}{space 4}-3.430967{col 81}{space 3} 4.542946
{txt}{space 23}38  {c |}{col 28}{res}{space 2} 2.130992{col 40}{space 2} 1.653625{col 51}{space 1}    1.29{col 60}{space 3}0.198{col 68}{space 4}-1.110053{col 81}{space 3} 5.372036
{txt}{space 23}39  {c |}{col 28}{res}{space 2} 2.165091{col 40}{space 2} 1.906769{col 51}{space 1}    1.14{col 60}{space 3}0.256{col 68}{space 4}-1.572108{col 81}{space 3}  5.90229
{txt}{space 23}40  {c |}{col 28}{res}{space 2} 5.300539{col 40}{space 2} 1.588934{col 51}{space 1}    3.34{col 60}{space 3}0.001{col 68}{space 4} 2.186285{col 81}{space 3} 8.414793
{txt}{space 23}41  {c |}{col 28}{res}{space 2} .6615724{col 40}{space 2}  1.66195{col 51}{space 1}    0.40{col 60}{space 3}0.691{col 68}{space 4}-2.595789{col 81}{space 3} 3.918934
{txt}{space 23}42  {c |}{col 28}{res}{space 2} 2.310397{col 40}{space 2} 1.620484{col 51}{space 1}    1.43{col 60}{space 3}0.154{col 68}{space 4}-.8656936{col 81}{space 3} 5.486488
{txt}{space 23}43  {c |}{col 28}{res}{space 2} 4.606786{col 40}{space 2} 1.671447{col 51}{space 1}    2.76{col 60}{space 3}0.006{col 68}{space 4} 1.330809{col 81}{space 3} 7.882762
{txt}{space 23}44  {c |}{col 28}{res}{space 2} 1.945476{col 40}{space 2} 1.281962{col 51}{space 1}    1.52{col 60}{space 3}0.129{col 68}{space 4}-.5671236{col 81}{space 3} 4.458075
{txt}{space 23}45  {c |}{col 28}{res}{space 2} 3.960801{col 40}{space 2} 1.482119{col 51}{space 1}    2.67{col 60}{space 3}0.008{col 68}{space 4}   1.0559{col 81}{space 3} 6.865701
{txt}{space 23}46  {c |}{col 28}{res}{space 2} 2.637677{col 40}{space 2} 1.619356{col 51}{space 1}    1.63{col 60}{space 3}0.103{col 68}{space 4}-.5362029{col 81}{space 3} 5.811557
{txt}{space 23}47  {c |}{col 28}{res}{space 2}  .786346{col 40}{space 2} 2.518359{col 51}{space 1}    0.31{col 60}{space 3}0.755{col 68}{space 4}-4.149546{col 81}{space 3} 5.722238
{txt}{space 23}48  {c |}{col 28}{res}{space 2} 2.738214{col 40}{space 2} 1.417246{col 51}{space 1}    1.93{col 60}{space 3}0.053{col 68}{space 4} -.039537{col 81}{space 3} 5.515965
{txt}{space 23}49  {c |}{col 28}{res}{space 2}   .57474{col 40}{space 2} 2.164699{col 51}{space 1}    0.27{col 60}{space 3}0.791{col 68}{space 4}-3.667992{col 81}{space 3} 4.817472
{txt}{space 23}50  {c |}{col 28}{res}{space 2}-.4693892{col 40}{space 2} 1.785696{col 51}{space 1}   -0.26{col 60}{space 3}0.793{col 68}{space 4} -3.96929{col 81}{space 3} 3.030511
{txt}{space 23}51  {c |}{col 28}{res}{space 2} .9539761{col 40}{space 2} 1.927536{col 51}{space 1}    0.49{col 60}{space 3}0.621{col 68}{space 4}-2.823925{col 81}{space 3} 4.731877
{txt}{space 23}52  {c |}{col 28}{res}{space 2}-2.101896{col 40}{space 2} 2.589288{col 51}{space 1}   -0.81{col 60}{space 3}0.417{col 68}{space 4}-7.176806{col 81}{space 3} 2.973015
{txt}{space 23}53  {c |}{col 28}{res}{space 2} 2.195995{col 40}{space 2} .9355687{col 51}{space 1}    2.35{col 60}{space 3}0.019{col 68}{space 4} .3623138{col 81}{space 3} 4.029676
{txt}{space 23}54  {c |}{col 28}{res}{space 2} -1.59906{col 40}{space 2} 2.221067{col 51}{space 1}   -0.72{col 60}{space 3}0.472{col 68}{space 4}-5.952271{col 81}{space 3}  2.75415
{txt}{space 23}55  {c |}{col 28}{res}{space 2}-.0112275{col 40}{space 2} 1.447232{col 51}{space 1}   -0.01{col 60}{space 3}0.994{col 68}{space 4} -2.84775{col 81}{space 3} 2.825295
{txt}{space 23}56  {c |}{col 28}{res}{space 2}-.8558493{col 40}{space 2} 1.545715{col 51}{space 1}   -0.55{col 60}{space 3}0.580{col 68}{space 4}-3.885394{col 81}{space 3} 2.173696
{txt}{space 23}57  {c |}{col 28}{res}{space 2} 1.992809{col 40}{space 2} 1.618763{col 51}{space 1}    1.23{col 60}{space 3}0.218{col 68}{space 4}-1.179908{col 81}{space 3} 5.165526
{txt}{space 23}58  {c |}{col 28}{res}{space 2}-1.358803{col 40}{space 2} 1.714183{col 51}{space 1}   -0.79{col 60}{space 3}0.428{col 68}{space 4}-4.718539{col 81}{space 3} 2.000934
{txt}{space 23}59  {c |}{col 28}{res}{space 2}-.3969333{col 40}{space 2} 1.672571{col 51}{space 1}   -0.24{col 60}{space 3}0.812{col 68}{space 4}-3.675113{col 81}{space 3} 2.881247
{txt}{space 23}60  {c |}{col 28}{res}{space 2} .3492147{col 40}{space 2} .5400995{col 51}{space 1}    0.65{col 60}{space 3}0.518{col 68}{space 4}-.7093609{col 81}{space 3}  1.40779
{txt}{space 23}61  {c |}{col 28}{res}{space 2}-.3696623{col 40}{space 2} .8018547{col 51}{space 1}   -0.46{col 60}{space 3}0.645{col 68}{space 4}-1.941269{col 81}{space 3} 1.201944
{txt}{space 23}62  {c |}{col 28}{res}{space 2}-.5710787{col 40}{space 2} 1.643385{col 51}{space 1}   -0.35{col 60}{space 3}0.728{col 68}{space 4}-3.792055{col 81}{space 3} 2.649897
{txt}{space 23}63  {c |}{col 28}{res}{space 2} .3990777{col 40}{space 2}  .710999{col 51}{space 1}    0.56{col 60}{space 3}0.575{col 68}{space 4}-.9944548{col 81}{space 3}  1.79261
{txt}{space 23}64  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}65  {c |}{col 28}{res}{space 2}-1.549908{col 40}{space 2} .7000445{col 51}{space 1}   -2.21{col 60}{space 3}0.027{col 68}{space 4} -2.92197{col 81}{space 3} -.177846
{txt}{space 23}66  {c |}{col 28}{res}{space 2}-3.263323{col 40}{space 2} 1.448167{col 51}{space 1}   -2.25{col 60}{space 3}0.024{col 68}{space 4}-6.101678{col 81}{space 3}-.4249684
{txt}{space 23}67  {c |}{col 28}{res}{space 2} -1.07692{col 40}{space 2} .9351829{col 51}{space 1}   -1.15{col 60}{space 3}0.250{col 68}{space 4}-2.909844{col 81}{space 3} .7560053
{txt}{space 23}68  {c |}{col 28}{res}{space 2}-2.299276{col 40}{space 2} .6917215{col 51}{space 1}   -3.32{col 60}{space 3}0.001{col 68}{space 4}-3.655026{col 81}{space 3}-.9435272
{txt}{space 23}69  {c |}{col 28}{res}{space 2}-1.010131{col 40}{space 2} .8639593{col 51}{space 1}   -1.17{col 60}{space 3}0.242{col 68}{space 4} -2.70346{col 81}{space 3} .6831978
{txt}{space 23}70  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}71  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}72  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}73  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}74  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}75  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2}-2.613916{col 40}{space 2} 3.213002{col 51}{space 1}   -0.81{col 60}{space 3}0.416{col 68}{space 4}-8.911283{col 81}{space 3} 3.683451
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 21}/ln_r {c |}{col 28}{res}{space 2} .6615269{col 40}{space 2} .2592161{col 68}{space 4} .1534727{col 81}{space 3} 1.169581
{txt}{space 21}/ln_s {c |}{col 28}{res}{space 2} 3.393093{col 40}{space 2} .3496649{col 68}{space 4} 2.707762{col 81}{space 3} 4.078423
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                         r {c |}{col 28}{res}{space 2} 1.937749{col 40}{space 2} .5022957{col 68}{space 4} 1.165876{col 81}{space 3} 3.220643
{txt}                         s {c |}{col 28}{res}{space 2} 29.75784{col 40}{space 2} 10.40527{col 68}{space 4} 14.99568{col 81}{space 3} 59.05228
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{txt}LR test vs. pooled: {help j_chibar##|_new:chibar2(01) = }{res}0.00{col 56}{txt}Prob >= chibar2 = {res}1.000
{txt}
{com}. 
. xtnbreg total_civil_cases lag_civil_cases  ln_cum_maoist_victims peoples_govt_active ln_abs_total2001 percent_votes1991_1999_GAP        ///
> litrate_1991_2001_GAP road_density_GAP year2002 hilli_region mountain_region region_east region_mid region_west region_farwest i.sno if year>1995 & year<2007 
{txt}note: 35.sno omitted because of collinearity
note: 64.sno omitted because of collinearity
note: 70.sno omitted because of collinearity
note: 71.sno omitted because of collinearity
note: 72.sno omitted because of collinearity
note: 73.sno omitted because of collinearity
note: 74.sno omitted because of collinearity
note: 75.sno omitted because of collinearity

Fitting negative binomial (constant dispersion) model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1197943.8}  
Iteration 1:{space 3}log likelihood = {res:-431238.35}  
Iteration 2:{space 3}log likelihood = {res:-226378.24}  
Iteration 3:{space 3}log likelihood = {res:-19100.478}  
Iteration 4:{space 3}log likelihood = {res:-14963.173}  
Iteration 5:{space 3}log likelihood = {res:-14954.005}  
Iteration 6:{space 3}log likelihood = {res:-14954.005}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-220243.62}  
Iteration 1:{space 3}log likelihood = {res:-18470.292}  
Iteration 2:{space 3}log likelihood = {res:-7456.0091}  (backed up)
Iteration 3:{space 3}log likelihood = {res:-6120.0465}  
Iteration 4:{space 3}log likelihood = {res:-6050.9396}  
Iteration 5:{space 3}log likelihood = {res:-6046.5021}  
Iteration 6:{space 3}log likelihood = {res:-6046.4926}  
Iteration 7:{space 3}log likelihood = {res:-6046.4926}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-6046.4926}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-5875.6035}  (not concave)
Iteration 2:{space 3}log likelihood = {res:-5683.3936}  (not concave)
Iteration 3:{space 3}log likelihood = {res:-5307.7014}  (not concave)
Iteration 4:{space 3}log likelihood = {res: -5112.833}  
Iteration 5:{space 3}log likelihood = {res:-4852.0893}  
Iteration 6:{space 3}log likelihood = {res:  -4755.95}  
Iteration 7:{space 3}log likelihood = {res: -4736.363}  
Iteration 8:{space 3}log likelihood = {res:-4735.8221}  
Iteration 9:{space 3}log likelihood = {res:-4735.8212}  
Iteration 10:{space 2}log likelihood = {res:-4735.8212}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-9548.1859}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-6066.2425}  (not concave)
Iteration 2:{space 3}log likelihood = {res:-5025.8494}  (not concave)
Iteration 3:{space 3}log likelihood = {res:-4889.2147}  
Iteration 4:{space 3}log likelihood = {res:-4778.4293}  
Iteration 5:{space 3}log likelihood = {res:-4763.8115}  
Iteration 6:{space 3}log likelihood = {res:-4762.1495}  
Iteration 7:{space 3}log likelihood = {res:-4761.6407}  
Iteration 8:{space 3}log likelihood = {res:-4761.6378}  
Iteration 9:{space 3}log likelihood = {res:-4761.6378}  
{res}
{txt}Random-effects negative binomial regression{col 49}Number of obs{col 67}={col 69}{res}       825
{txt}Group variable: {res}sno{col 49}{txt}Number of groups{col 67}={col 69}{res}        75

{txt}Random effects u_i ~ {res}Beta{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        11
{txt}{col 63}avg{col 67}={col 69}{res}      11.0
{txt}{col 63}max{col 67}={col 69}{res}        11

{txt}{col 49}Wald chi2({res}80{txt}){col 67}={col 70}{res}  1919.16
{txt}Log likelihood  = {res}-4761.6378{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         total_civil_cases{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}lag_civil_cases {c |}{col 28}{res}{space 2} .0001622{col 40}{space 2} .0000361{col 51}{space 1}    4.50{col 60}{space 3}0.000{col 68}{space 4} .0000915{col 81}{space 3} .0002329
{txt}{space 5}ln_cum_maoist_victims {c |}{col 28}{res}{space 2}-.0621108{col 40}{space 2}  .012506{col 51}{space 1}   -4.97{col 60}{space 3}0.000{col 68}{space 4}-.0866222{col 81}{space 3}-.0375994
{txt}{space 7}peoples_govt_active {c |}{col 28}{res}{space 2}-.2792148{col 40}{space 2} .0392555{col 51}{space 1}   -7.11{col 60}{space 3}0.000{col 68}{space 4}-.3561541{col 81}{space 3}-.2022754
{txt}{space 10}ln_abs_total2001 {c |}{col 28}{res}{space 2} .7166914{col 40}{space 2} .4555064{col 51}{space 1}    1.57{col 60}{space 3}0.116{col 68}{space 4}-.1760848{col 81}{space 3} 1.609468
{txt}percent_votes1991_1999_GAP {c |}{col 28}{res}{space 2} .0023093{col 40}{space 2} .0051979{col 51}{space 1}    0.44{col 60}{space 3}0.657{col 68}{space 4}-.0078783{col 81}{space 3} .0124969
{txt}{space 5}litrate_1991_2001_GAP {c |}{col 28}{res}{space 2} .0015691{col 40}{space 2} .0037651{col 51}{space 1}    0.42{col 60}{space 3}0.677{col 68}{space 4}-.0058104{col 81}{space 3} .0089485
{txt}{space 10}road_density_GAP {c |}{col 28}{res}{space 2}-21.62405{col 40}{space 2} 14.16127{col 51}{space 1}   -1.53{col 60}{space 3}0.127{col 68}{space 4}-49.37963{col 81}{space 3} 6.131519
{txt}{space 18}year2002 {c |}{col 28}{res}{space 2} .0937792{col 40}{space 2} .0469341{col 51}{space 1}    2.00{col 60}{space 3}0.046{col 68}{space 4} .0017901{col 81}{space 3} .1857684
{txt}{space 14}hilli_region {c |}{col 28}{res}{space 2}-2.959395{col 40}{space 2} .5433203{col 51}{space 1}   -5.45{col 60}{space 3}0.000{col 68}{space 4}-4.024283{col 81}{space 3}-1.894507
{txt}{space 11}mountain_region {c |}{col 28}{res}{space 2} -4.23778{col 40}{space 2} 1.728575{col 51}{space 1}   -2.45{col 60}{space 3}0.014{col 68}{space 4}-7.625725{col 81}{space 3}-.8498343
{txt}{space 15}region_east {c |}{col 28}{res}{space 2} 4.004865{col 40}{space 2} 3.289978{col 51}{space 1}    1.22{col 60}{space 3}0.223{col 68}{space 4}-2.443372{col 81}{space 3}  10.4531
{txt}{space 16}region_mid {c |}{col 28}{res}{space 2}-2.821863{col 40}{space 2} 1.131684{col 51}{space 1}   -2.49{col 60}{space 3}0.013{col 68}{space 4}-5.039924{col 81}{space 3}-.6038023
{txt}{space 15}region_west {c |}{col 28}{res}{space 2}-1.997256{col 40}{space 2} .7918081{col 51}{space 1}   -2.52{col 60}{space 3}0.012{col 68}{space 4}-3.549172{col 81}{space 3}-.4453409
{txt}{space 12}region_farwest {c |}{col 28}{res}{space 2}-.1633816{col 40}{space 2} 1.520394{col 51}{space 1}   -0.11{col 60}{space 3}0.914{col 68}{space 4}-3.143298{col 81}{space 3} 2.816535
{txt}{space 26} {c |}
{space 23}sno {c |}
{space 24}2  {c |}{col 28}{res}{space 2}-.6161876{col 40}{space 2} 1.966323{col 51}{space 1}   -0.31{col 60}{space 3}0.754{col 68}{space 4} -4.47011{col 81}{space 3} 3.237735
{txt}{space 24}3  {c |}{col 28}{res}{space 2}-2.589185{col 40}{space 2} 3.026946{col 51}{space 1}   -0.86{col 60}{space 3}0.392{col 68}{space 4}-8.521889{col 81}{space 3}  3.34352
{txt}{space 24}4  {c |}{col 28}{res}{space 2}-3.782604{col 40}{space 2} 3.336554{col 51}{space 1}   -1.13{col 60}{space 3}0.257{col 68}{space 4}-10.32213{col 81}{space 3} 2.756923
{txt}{space 24}5  {c |}{col 28}{res}{space 2}-.1202818{col 40}{space 2} .6047864{col 51}{space 1}   -0.20{col 60}{space 3}0.842{col 68}{space 4}-1.305641{col 81}{space 3} 1.065078
{txt}{space 24}6  {c |}{col 28}{res}{space 2}-.0706352{col 40}{space 2}  .621536{col 51}{space 1}   -0.11{col 60}{space 3}0.910{col 68}{space 4}-1.288823{col 81}{space 3} 1.147553
{txt}{space 24}7  {c |}{col 28}{res}{space 2}-.6106308{col 40}{space 2} 1.960701{col 51}{space 1}   -0.31{col 60}{space 3}0.755{col 68}{space 4}-4.453534{col 81}{space 3} 3.232273
{txt}{space 24}8  {c |}{col 28}{res}{space 2}-4.138269{col 40}{space 2} 3.919725{col 51}{space 1}   -1.06{col 60}{space 3}0.291{col 68}{space 4}-11.82079{col 81}{space 3}  3.54425
{txt}{space 24}9  {c |}{col 28}{res}{space 2}-6.315767{col 40}{space 2} 4.948529{col 51}{space 1}   -1.28{col 60}{space 3}0.202{col 68}{space 4}-16.01471{col 81}{space 3} 3.383173
{txt}{space 23}10  {c |}{col 28}{res}{space 2}-5.466928{col 40}{space 2}  3.37752{col 51}{space 1}   -1.62{col 60}{space 3}0.106{col 68}{space 4}-12.08675{col 81}{space 3}  1.15289
{txt}{space 23}11  {c |}{col 28}{res}{space 2}-2.713384{col 40}{space 2} 1.967434{col 51}{space 1}   -1.38{col 60}{space 3}0.168{col 68}{space 4}-6.569483{col 81}{space 3} 1.142715
{txt}{space 23}12  {c |}{col 28}{res}{space 2}-2.022019{col 40}{space 2} 1.706192{col 51}{space 1}   -1.19{col 60}{space 3}0.236{col 68}{space 4}-5.366093{col 81}{space 3} 1.322055
{txt}{space 23}13  {c |}{col 28}{res}{space 2} -1.76536{col 40}{space 2} 3.511763{col 51}{space 1}   -0.50{col 60}{space 3}0.615{col 68}{space 4} -8.64829{col 81}{space 3}  5.11757
{txt}{space 23}14  {c |}{col 28}{res}{space 2}-6.882601{col 40}{space 2} 5.006548{col 51}{space 1}   -1.37{col 60}{space 3}0.169{col 68}{space 4}-16.69525{col 81}{space 3} 2.930052
{txt}{space 23}15  {c |}{col 28}{res}{space 2}-4.379723{col 40}{space 2}  4.38142{col 51}{space 1}   -1.00{col 60}{space 3}0.317{col 68}{space 4}-12.96715{col 81}{space 3} 4.207703
{txt}{space 23}16  {c |}{col 28}{res}{space 2}-5.392773{col 40}{space 2} 3.392107{col 51}{space 1}   -1.59{col 60}{space 3}0.112{col 68}{space 4}-12.04118{col 81}{space 3} 1.255635
{txt}{space 23}17  {c |}{col 28}{res}{space 2} 11.45903{col 40}{space 2} 6.698545{col 51}{space 1}    1.71{col 60}{space 3}0.087{col 68}{space 4}-1.669881{col 81}{space 3} 24.58793
{txt}{space 23}18  {c |}{col 28}{res}{space 2} 8.799323{col 40}{space 2} 5.202162{col 51}{space 1}    1.69{col 60}{space 3}0.091{col 68}{space 4}-1.396727{col 81}{space 3} 18.99537
{txt}{space 23}19  {c |}{col 28}{res}{space 2} 8.332424{col 40}{space 2} 4.411221{col 51}{space 1}    1.89{col 60}{space 3}0.059{col 68}{space 4} -.313411{col 81}{space 3} 16.97826
{txt}{space 23}20  {c |}{col 28}{res}{space 2} 3.155333{col 40}{space 2} 1.329858{col 51}{space 1}    2.37{col 60}{space 3}0.018{col 68}{space 4} .5488607{col 81}{space 3} 5.761806
{txt}{space 23}21  {c |}{col 28}{res}{space 2} 2.233665{col 40}{space 2} 1.491176{col 51}{space 1}    1.50{col 60}{space 3}0.134{col 68}{space 4}-.6889856{col 81}{space 3} 5.156316
{txt}{space 23}22  {c |}{col 28}{res}{space 2} 4.238101{col 40}{space 2} 2.247051{col 51}{space 1}    1.89{col 60}{space 3}0.059{col 68}{space 4} -.166038{col 81}{space 3} 8.642239
{txt}{space 23}23  {c |}{col 28}{res}{space 2} 3.942471{col 40}{space 2} 1.793494{col 51}{space 1}    2.20{col 60}{space 3}0.028{col 68}{space 4} .4272872{col 81}{space 3} 7.457654
{txt}{space 23}24  {c |}{col 28}{res}{space 2} 5.667315{col 40}{space 2} 2.644629{col 51}{space 1}    2.14{col 60}{space 3}0.032{col 68}{space 4} .4839368{col 81}{space 3} 10.85069
{txt}{space 23}25  {c |}{col 28}{res}{space 2} 4.949482{col 40}{space 2} 2.361294{col 51}{space 1}    2.10{col 60}{space 3}0.036{col 68}{space 4} .3214317{col 81}{space 3} 9.577533
{txt}{space 23}26  {c |}{col 28}{res}{space 2} 6.227199{col 40}{space 2} 3.754618{col 51}{space 1}    1.66{col 60}{space 3}0.097{col 68}{space 4}-1.131717{col 81}{space 3} 13.58612
{txt}{space 23}27  {c |}{col 28}{res}{space 2} 5.780803{col 40}{space 2} 1.318084{col 51}{space 1}    4.39{col 60}{space 3}0.000{col 68}{space 4} 3.197405{col 81}{space 3}   8.3642
{txt}{space 23}28  {c |}{col 28}{res}{space 2} 21.69813{col 40}{space 2} 11.09857{col 51}{space 1}    1.96{col 60}{space 3}0.051{col 68}{space 4}-.0546668{col 81}{space 3} 43.45093
{txt}{space 23}29  {c |}{col 28}{res}{space 2}  35.9111{col 40}{space 2} 20.52761{col 51}{space 1}    1.75{col 60}{space 3}0.080{col 68}{space 4}-4.322272{col 81}{space 3} 76.14447
{txt}{space 23}30  {c |}{col 28}{res}{space 2} 46.14647{col 40}{space 2} 27.49803{col 51}{space 1}    1.68{col 60}{space 3}0.093{col 68}{space 4}-7.748675{col 81}{space 3} 100.0416
{txt}{space 23}31  {c |}{col 28}{res}{space 2} 10.10919{col 40}{space 2} 3.194363{col 51}{space 1}    3.16{col 60}{space 3}0.002{col 68}{space 4} 3.848356{col 81}{space 3} 16.37003
{txt}{space 23}32  {c |}{col 28}{res}{space 2}  4.17728{col 40}{space 2} 1.593387{col 51}{space 1}    2.62{col 60}{space 3}0.009{col 68}{space 4} 1.054299{col 81}{space 3} 7.300262
{txt}{space 23}33  {c |}{col 28}{res}{space 2} .5457317{col 40}{space 2} 1.335353{col 51}{space 1}    0.41{col 60}{space 3}0.683{col 68}{space 4}-2.071511{col 81}{space 3} 3.162975
{txt}{space 23}34  {c |}{col 28}{res}{space 2} 6.919376{col 40}{space 2} 2.494595{col 51}{space 1}    2.77{col 60}{space 3}0.006{col 68}{space 4}  2.03006{col 81}{space 3} 11.80869
{txt}{space 23}35  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}36  {c |}{col 28}{res}{space 2} 6.426058{col 40}{space 2} 2.068182{col 51}{space 1}    3.11{col 60}{space 3}0.002{col 68}{space 4} 2.372495{col 81}{space 3} 10.47962
{txt}{space 23}37  {c |}{col 28}{res}{space 2} .0013261{col 40}{space 2} 2.052539{col 51}{space 1}    0.00{col 60}{space 3}0.999{col 68}{space 4}-4.021576{col 81}{space 3} 4.024228
{txt}{space 23}38  {c |}{col 28}{res}{space 2} 1.654259{col 40}{space 2} 1.664228{col 51}{space 1}    0.99{col 60}{space 3}0.320{col 68}{space 4}-1.607568{col 81}{space 3} 4.916085
{txt}{space 23}39  {c |}{col 28}{res}{space 2} 1.854186{col 40}{space 2} 1.920407{col 51}{space 1}    0.97{col 60}{space 3}0.334{col 68}{space 4}-1.909743{col 81}{space 3} 5.618115
{txt}{space 23}40  {c |}{col 28}{res}{space 2} 5.294334{col 40}{space 2} 1.589217{col 51}{space 1}    3.33{col 60}{space 3}0.001{col 68}{space 4} 2.179526{col 81}{space 3} 8.409141
{txt}{space 23}41  {c |}{col 28}{res}{space 2} .0740301{col 40}{space 2} 1.680121{col 51}{space 1}    0.04{col 60}{space 3}0.965{col 68}{space 4}-3.218946{col 81}{space 3} 3.367006
{txt}{space 23}42  {c |}{col 28}{res}{space 2} 2.598985{col 40}{space 2} 1.616999{col 51}{space 1}    1.61{col 60}{space 3}0.108{col 68}{space 4}-.5702758{col 81}{space 3} 5.768245
{txt}{space 23}43  {c |}{col 28}{res}{space 2} 4.576676{col 40}{space 2} 1.669554{col 51}{space 1}    2.74{col 60}{space 3}0.006{col 68}{space 4} 1.304411{col 81}{space 3} 7.848942
{txt}{space 23}44  {c |}{col 28}{res}{space 2} 1.993076{col 40}{space 2} 1.282571{col 51}{space 1}    1.55{col 60}{space 3}0.120{col 68}{space 4}-.5207161{col 81}{space 3} 4.506869
{txt}{space 23}45  {c |}{col 28}{res}{space 2} 3.972184{col 40}{space 2} 1.489576{col 51}{space 1}    2.67{col 60}{space 3}0.008{col 68}{space 4} 1.052668{col 81}{space 3}   6.8917
{txt}{space 23}46  {c |}{col 28}{res}{space 2} 2.548298{col 40}{space 2}  1.62606{col 51}{space 1}    1.57{col 60}{space 3}0.117{col 68}{space 4}-.6387206{col 81}{space 3} 5.735317
{txt}{space 23}47  {c |}{col 28}{res}{space 2} .1629097{col 40}{space 2} 2.539853{col 51}{space 1}    0.06{col 60}{space 3}0.949{col 68}{space 4}-4.815111{col 81}{space 3} 5.140931
{txt}{space 23}48  {c |}{col 28}{res}{space 2} 2.519494{col 40}{space 2} 1.422595{col 51}{space 1}    1.77{col 60}{space 3}0.077{col 68}{space 4}-.2687417{col 81}{space 3} 5.307729
{txt}{space 23}49  {c |}{col 28}{res}{space 2} .0047349{col 40}{space 2} 2.181709{col 51}{space 1}    0.00{col 60}{space 3}0.998{col 68}{space 4}-4.271336{col 81}{space 3} 4.280806
{txt}{space 23}50  {c |}{col 28}{res}{space 2}-.8881539{col 40}{space 2} 1.796454{col 51}{space 1}   -0.49{col 60}{space 3}0.621{col 68}{space 4}-4.409139{col 81}{space 3} 2.632831
{txt}{space 23}51  {c |}{col 28}{res}{space 2} .5645112{col 40}{space 2} 1.946155{col 51}{space 1}    0.29{col 60}{space 3}0.772{col 68}{space 4}-3.249882{col 81}{space 3} 4.378904
{txt}{space 23}52  {c |}{col 28}{res}{space 2} -2.90119{col 40}{space 2} 2.623192{col 51}{space 1}   -1.11{col 60}{space 3}0.269{col 68}{space 4}-8.042553{col 81}{space 3} 2.240172
{txt}{space 23}53  {c |}{col 28}{res}{space 2} 2.036547{col 40}{space 2} .9420746{col 51}{space 1}    2.16{col 60}{space 3}0.031{col 68}{space 4}  .190115{col 81}{space 3}  3.88298
{txt}{space 23}54  {c |}{col 28}{res}{space 2}-2.289509{col 40}{space 2} 2.246282{col 51}{space 1}   -1.02{col 60}{space 3}0.308{col 68}{space 4}-6.692141{col 81}{space 3} 2.113124
{txt}{space 23}55  {c |}{col 28}{res}{space 2}-.2876764{col 40}{space 2} 1.455875{col 51}{space 1}   -0.20{col 60}{space 3}0.843{col 68}{space 4}-3.141139{col 81}{space 3} 2.565786
{txt}{space 23}56  {c |}{col 28}{res}{space 2}  -1.2236{col 40}{space 2} 1.555721{col 51}{space 1}   -0.79{col 60}{space 3}0.432{col 68}{space 4}-4.272758{col 81}{space 3} 1.825557
{txt}{space 23}57  {c |}{col 28}{res}{space 2} 1.637572{col 40}{space 2} 1.627932{col 51}{space 1}    1.01{col 60}{space 3}0.314{col 68}{space 4}-1.553116{col 81}{space 3}  4.82826
{txt}{space 23}58  {c |}{col 28}{res}{space 2}-1.804275{col 40}{space 2} 1.726406{col 51}{space 1}   -1.05{col 60}{space 3}0.296{col 68}{space 4}-5.187969{col 81}{space 3} 1.579418
{txt}{space 23}59  {c |}{col 28}{res}{space 2}-.6703123{col 40}{space 2}  1.68687{col 51}{space 1}   -0.40{col 60}{space 3}0.691{col 68}{space 4}-3.976516{col 81}{space 3} 2.635891
{txt}{space 23}60  {c |}{col 28}{res}{space 2} .3386718{col 40}{space 2} .5407084{col 51}{space 1}    0.63{col 60}{space 3}0.531{col 68}{space 4}-.7210971{col 81}{space 3} 1.398441
{txt}{space 23}61  {c |}{col 28}{res}{space 2}-.5554651{col 40}{space 2} .8087056{col 51}{space 1}   -0.69{col 60}{space 3}0.492{col 68}{space 4}-2.140499{col 81}{space 3} 1.029569
{txt}{space 23}62  {c |}{col 28}{res}{space 2}-.9983482{col 40}{space 2} 1.653984{col 51}{space 1}   -0.60{col 60}{space 3}0.546{col 68}{space 4}-4.240097{col 81}{space 3} 2.243401
{txt}{space 23}63  {c |}{col 28}{res}{space 2} .1539664{col 40}{space 2} .7150328{col 51}{space 1}    0.22{col 60}{space 3}0.830{col 68}{space 4}-1.247472{col 81}{space 3} 1.555405
{txt}{space 23}64  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}65  {c |}{col 28}{res}{space 2}-1.817908{col 40}{space 2} .7120556{col 51}{space 1}   -2.55{col 60}{space 3}0.011{col 68}{space 4}-3.213512{col 81}{space 3}-.4223051
{txt}{space 23}66  {c |}{col 28}{res}{space 2}-3.524192{col 40}{space 2} 1.461457{col 51}{space 1}   -2.41{col 60}{space 3}0.016{col 68}{space 4}-6.388595{col 81}{space 3}-.6597889
{txt}{space 23}67  {c |}{col 28}{res}{space 2}-1.247418{col 40}{space 2} .9432027{col 51}{space 1}   -1.32{col 60}{space 3}0.186{col 68}{space 4}-3.096062{col 81}{space 3} .6012251
{txt}{space 23}68  {c |}{col 28}{res}{space 2}-2.367237{col 40}{space 2} .6948552{col 51}{space 1}   -3.41{col 60}{space 3}0.001{col 68}{space 4}-3.729129{col 81}{space 3}-1.005346
{txt}{space 23}69  {c |}{col 28}{res}{space 2}-1.178344{col 40}{space 2} .8704983{col 51}{space 1}   -1.35{col 60}{space 3}0.176{col 68}{space 4}-2.884489{col 81}{space 3} .5278015
{txt}{space 23}70  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}71  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}72  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}73  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}74  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}75  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2} -3.16436{col 40}{space 2}  3.23687{col 51}{space 1}   -0.98{col 60}{space 3}0.328{col 68}{space 4}-9.508508{col 81}{space 3} 3.179788
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 21}/ln_r {c |}{col 28}{res}{space 2} .6496402{col 40}{space 2} .2702403{col 68}{space 4} .1199789{col 81}{space 3} 1.179301
{txt}{space 21}/ln_s {c |}{col 28}{res}{space 2} 3.410275{col 40}{space 2} .3671882{col 68}{space 4} 2.690599{col 81}{space 3}  4.12995
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                         r {c |}{col 28}{res}{space 2} 1.914852{col 40}{space 2} .5174701{col 68}{space 4} 1.127473{col 81}{space 3} 3.252102
{txt}                         s {c |}{col 28}{res}{space 2} 30.27356{col 40}{space 2} 11.11609{col 68}{space 4} 14.74051{col 81}{space 3} 62.17484
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{txt}LR test vs. pooled: {help j_chibar##|_new:chibar2(01) = }{res}0.00{col 56}{txt}Prob >= chibar2 = {res}1.000
{txt}
{com}. 
. 
. //Criminal cases 
. xtnbreg total_criminal_cases lag_criminal_cases ln_cum_state_victims peoples_govt_active ln_abs_total2001 percent_votes1991_1999_GAP    ///
> litrate_1991_2001_GAP road_density_GAP year2002 hilli_region mountain_region region_east region_mid region_west region_farwest i.sno if year>1995 & year<2007 
{txt}note: 35.sno omitted because of collinearity
note: 64.sno omitted because of collinearity
note: 70.sno omitted because of collinearity
note: 71.sno omitted because of collinearity
note: 72.sno omitted because of collinearity
note: 73.sno omitted because of collinearity
note: 74.sno omitted because of collinearity
note: 75.sno omitted because of collinearity

Fitting negative binomial (constant dispersion) model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1188818.9}  
Iteration 1:{space 3}log likelihood = {res: -339404.9}  
Iteration 2:{space 3}log likelihood = {res:-171626.29}  
Iteration 3:{space 3}log likelihood = {res:-44229.207}  
Iteration 4:{space 3}log likelihood = {res:-13359.204}  
Iteration 5:{space 3}log likelihood = {res:-12949.225}  
Iteration 6:{space 3}log likelihood = {res:-12948.117}  
Iteration 7:{space 3}log likelihood = {res:-12948.117}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-93080.224}  
Iteration 1:{space 3}log likelihood = {res:-12995.468}  
Iteration 2:{space 3}log likelihood = {res:-6279.1285}  (backed up)
Iteration 3:{space 3}log likelihood = {res: -5681.269}  
Iteration 4:{space 3}log likelihood = {res:-5675.3875}  
Iteration 5:{space 3}log likelihood = {res:-5675.3663}  
Iteration 6:{space 3}log likelihood = {res:-5675.3663}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-5675.3663}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-5542.8498}  (not concave)
Iteration 2:{space 3}log likelihood = {res:-5263.7157}  (not concave)
Iteration 3:{space 3}log likelihood = {res:-4981.9821}  
Iteration 4:{space 3}log likelihood = {res:-4771.6479}  
Iteration 5:{space 3}log likelihood = {res:-4691.9651}  
Iteration 6:{space 3}log likelihood = {res:-4642.0259}  
Iteration 7:{space 3}log likelihood = {res:-4641.5981}  
Iteration 8:{space 3}log likelihood = {res:-4641.5979}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-8597.6484}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-5961.0429}  (not concave)
Iteration 2:{space 3}log likelihood = {res:-4743.7974}  (not concave)
Iteration 3:{space 3}log likelihood = {res:-4666.1622}  
Iteration 4:{space 3}log likelihood = {res:-4590.2109}  
Iteration 5:{space 3}log likelihood = {res:-4562.5269}  
Iteration 6:{space 3}log likelihood = {res:-4548.4246}  
Iteration 7:{space 3}log likelihood = {res:-4544.8365}  
Iteration 8:{space 3}log likelihood = {res:-4544.7801}  
Iteration 9:{space 3}log likelihood = {res:  -4544.78}  
{res}
{txt}Random-effects negative binomial regression{col 49}Number of obs{col 67}={col 69}{res}       825
{txt}Group variable: {res}sno{col 49}{txt}Number of groups{col 67}={col 69}{res}        75

{txt}Random effects u_i ~ {res}Beta{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        11
{txt}{col 63}avg{col 67}={col 69}{res}      11.0
{txt}{col 63}max{col 67}={col 69}{res}        11

{txt}{col 49}Wald chi2({res}80{txt}){col 67}={col 70}{res}  2486.27
{txt}Log likelihood  = {res}  -4544.78{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      total_criminal_cases{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}lag_criminal_cases {c |}{col 28}{res}{space 2} .0002579{col 40}{space 2} .0000609{col 51}{space 1}    4.23{col 60}{space 3}0.000{col 68}{space 4} .0001385{col 81}{space 3} .0003773
{txt}{space 6}ln_cum_state_victims {c |}{col 28}{res}{space 2}-.1135857{col 40}{space 2} .0098378{col 51}{space 1}  -11.55{col 60}{space 3}0.000{col 68}{space 4}-.1328675{col 81}{space 3}-.0943039
{txt}{space 7}peoples_govt_active {c |}{col 28}{res}{space 2}-.1798145{col 40}{space 2} .0331009{col 51}{space 1}   -5.43{col 60}{space 3}0.000{col 68}{space 4} -.244691{col 81}{space 3}-.1149379
{txt}{space 10}ln_abs_total2001 {c |}{col 28}{res}{space 2}-.2422493{col 40}{space 2} .4281671{col 51}{space 1}   -0.57{col 60}{space 3}0.572{col 68}{space 4}-1.081441{col 81}{space 3} .5969429
{txt}percent_votes1991_1999_GAP {c |}{col 28}{res}{space 2} .0160032{col 40}{space 2} .0042375{col 51}{space 1}    3.78{col 60}{space 3}0.000{col 68}{space 4} .0076978{col 81}{space 3} .0243085
{txt}{space 5}litrate_1991_2001_GAP {c |}{col 28}{res}{space 2} .0137474{col 40}{space 2} .0037711{col 51}{space 1}    3.65{col 60}{space 3}0.000{col 68}{space 4} .0063562{col 81}{space 3} .0211386
{txt}{space 10}road_density_GAP {c |}{col 28}{res}{space 2} 4.702766{col 40}{space 2} 15.31952{col 51}{space 1}    0.31{col 60}{space 3}0.759{col 68}{space 4}-25.32293{col 81}{space 3} 34.72847
{txt}{space 18}year2002 {c |}{col 28}{res}{space 2} .0276124{col 40}{space 2} .0373734{col 51}{space 1}    0.74{col 60}{space 3}0.460{col 68}{space 4} -.045638{col 81}{space 3} .1008628
{txt}{space 14}hilli_region {c |}{col 28}{res}{space 2}-1.571242{col 40}{space 2} .5820205{col 51}{space 1}   -2.70{col 60}{space 3}0.007{col 68}{space 4}-2.711981{col 81}{space 3} -.430503
{txt}{space 11}mountain_region {c |}{col 28}{res}{space 2}-1.186161{col 40}{space 2} 1.891848{col 51}{space 1}   -0.63{col 60}{space 3}0.531{col 68}{space 4}-4.894115{col 81}{space 3} 2.521793
{txt}{space 15}region_east {c |}{col 28}{res}{space 2}-1.940311{col 40}{space 2} 3.639618{col 51}{space 1}   -0.53{col 60}{space 3}0.594{col 68}{space 4} -9.07383{col 81}{space 3} 5.193209
{txt}{space 16}region_mid {c |}{col 28}{res}{space 2}-1.187892{col 40}{space 2} 1.286326{col 51}{space 1}   -0.92{col 60}{space 3}0.356{col 68}{space 4}-3.709045{col 81}{space 3} 1.333261
{txt}{space 15}region_west {c |}{col 28}{res}{space 2}-1.212565{col 40}{space 2} .7422422{col 51}{space 1}   -1.63{col 60}{space 3}0.102{col 68}{space 4}-2.667333{col 81}{space 3} .2422031
{txt}{space 12}region_farwest {c |}{col 28}{res}{space 2} 1.521972{col 40}{space 2} 1.459518{col 51}{space 1}    1.04{col 60}{space 3}0.297{col 68}{space 4}-1.338631{col 81}{space 3} 4.382576
{txt}{space 26} {c |}
{space 23}sno {c |}
{space 24}2  {c |}{col 28}{res}{space 2} 2.787084{col 40}{space 2} 2.166932{col 51}{space 1}    1.29{col 60}{space 3}0.198{col 68}{space 4}-1.460025{col 81}{space 3} 7.034192
{txt}{space 24}3  {c |}{col 28}{res}{space 2} 3.815622{col 40}{space 2} 3.338733{col 51}{space 1}    1.14{col 60}{space 3}0.253{col 68}{space 4}-2.728173{col 81}{space 3} 10.35942
{txt}{space 24}4  {c |}{col 28}{res}{space 2} 3.934333{col 40}{space 2} 3.653838{col 51}{space 1}    1.08{col 60}{space 3}0.282{col 68}{space 4}-3.227057{col 81}{space 3} 11.09572
{txt}{space 24}5  {c |}{col 28}{res}{space 2}-.2641919{col 40}{space 2}  .573794{col 51}{space 1}   -0.46{col 60}{space 3}0.645{col 68}{space 4}-1.388807{col 81}{space 3} .8604236
{txt}{space 24}6  {c |}{col 28}{res}{space 2}  2.33399{col 40}{space 2} .6365751{col 51}{space 1}    3.67{col 60}{space 3}0.000{col 68}{space 4} 1.086326{col 81}{space 3} 3.581654
{txt}{space 24}7  {c |}{col 28}{res}{space 2} 3.313151{col 40}{space 2} 2.188741{col 51}{space 1}    1.51{col 60}{space 3}0.130{col 68}{space 4}-.9767023{col 81}{space 3} 7.603005
{txt}{space 24}8  {c |}{col 28}{res}{space 2} 3.035312{col 40}{space 2} 4.337145{col 51}{space 1}    0.70{col 60}{space 3}0.484{col 68}{space 4}-5.465337{col 81}{space 3} 11.53596
{txt}{space 24}9  {c |}{col 28}{res}{space 2} 3.817079{col 40}{space 2} 5.419358{col 51}{space 1}    0.70{col 60}{space 3}0.481{col 68}{space 4}-6.804667{col 81}{space 3} 14.43882
{txt}{space 23}10  {c |}{col 28}{res}{space 2}  4.12851{col 40}{space 2} 3.667734{col 51}{space 1}    1.13{col 60}{space 3}0.260{col 68}{space 4}-3.060117{col 81}{space 3} 11.31714
{txt}{space 23}11  {c |}{col 28}{res}{space 2} 3.450278{col 40}{space 2} 2.131727{col 51}{space 1}    1.62{col 60}{space 3}0.106{col 68}{space 4}-.7278304{col 81}{space 3} 7.628387
{txt}{space 23}12  {c |}{col 28}{res}{space 2} 3.616337{col 40}{space 2} 1.823656{col 51}{space 1}    1.98{col 60}{space 3}0.047{col 68}{space 4} .0420363{col 81}{space 3} 7.190638
{txt}{space 23}13  {c |}{col 28}{res}{space 2} 3.056805{col 40}{space 2} 3.902525{col 51}{space 1}    0.78{col 60}{space 3}0.433{col 68}{space 4}-4.592003{col 81}{space 3} 10.70561
{txt}{space 23}14  {c |}{col 28}{res}{space 2} 3.413369{col 40}{space 2} 5.471509{col 51}{space 1}    0.62{col 60}{space 3}0.533{col 68}{space 4}-7.310591{col 81}{space 3} 14.13733
{txt}{space 23}15  {c |}{col 28}{res}{space 2} 3.610626{col 40}{space 2} 4.827921{col 51}{space 1}    0.75{col 60}{space 3}0.455{col 68}{space 4}-5.851925{col 81}{space 3} 13.07318
{txt}{space 23}16  {c |}{col 28}{res}{space 2} 2.372105{col 40}{space 2} 3.715347{col 51}{space 1}    0.64{col 60}{space 3}0.523{col 68}{space 4}-4.909841{col 81}{space 3} 9.654051
{txt}{space 23}17  {c |}{col 28}{res}{space 2}-3.445457{col 40}{space 2} 7.460907{col 51}{space 1}   -0.46{col 60}{space 3}0.644{col 68}{space 4}-18.06857{col 81}{space 3} 11.17765
{txt}{space 23}18  {c |}{col 28}{res}{space 2} .3977602{col 40}{space 2} 5.827734{col 51}{space 1}    0.07{col 60}{space 3}0.946{col 68}{space 4}-11.02439{col 81}{space 3} 11.81991
{txt}{space 23}19  {c |}{col 28}{res}{space 2} 2.232811{col 40}{space 2} 4.952596{col 51}{space 1}    0.45{col 60}{space 3}0.652{col 68}{space 4}  -7.4741{col 81}{space 3} 11.93972
{txt}{space 23}20  {c |}{col 28}{res}{space 2} 4.078188{col 40}{space 2} 1.358822{col 51}{space 1}    3.00{col 60}{space 3}0.003{col 68}{space 4} 1.414946{col 81}{space 3} 6.741429
{txt}{space 23}21  {c |}{col 28}{res}{space 2} 3.425834{col 40}{space 2} 1.481545{col 51}{space 1}    2.31{col 60}{space 3}0.021{col 68}{space 4} .5220597{col 81}{space 3} 6.329608
{txt}{space 23}22  {c |}{col 28}{res}{space 2} 1.565913{col 40}{space 2} 2.546252{col 51}{space 1}    0.61{col 60}{space 3}0.539{col 68}{space 4}-3.424648{col 81}{space 3} 6.556475
{txt}{space 23}23  {c |}{col 28}{res}{space 2} 2.713406{col 40}{space 2} 2.047952{col 51}{space 1}    1.32{col 60}{space 3}0.185{col 68}{space 4}-1.300507{col 81}{space 3} 6.727318
{txt}{space 23}24  {c |}{col 28}{res}{space 2}  1.12867{col 40}{space 2}  3.00925{col 51}{space 1}    0.38{col 60}{space 3}0.708{col 68}{space 4}-4.769351{col 81}{space 3}  7.02669
{txt}{space 23}25  {c |}{col 28}{res}{space 2} .9775559{col 40}{space 2} 2.698608{col 51}{space 1}    0.36{col 60}{space 3}0.717{col 68}{space 4}-4.311619{col 81}{space 3} 6.266731
{txt}{space 23}26  {c |}{col 28}{res}{space 2} .9328134{col 40}{space 2} 4.219219{col 51}{space 1}    0.22{col 60}{space 3}0.825{col 68}{space 4}-7.336704{col 81}{space 3} 9.202331
{txt}{space 23}27  {c |}{col 28}{res}{space 2} 3.502805{col 40}{space 2} 1.478911{col 51}{space 1}    2.37{col 60}{space 3}0.018{col 68}{space 4} .6041917{col 81}{space 3} 6.401418
{txt}{space 23}28  {c |}{col 28}{res}{space 2}-.8097826{col 40}{space 2} 12.20018{col 51}{space 1}   -0.07{col 60}{space 3}0.947{col 68}{space 4}-24.72169{col 81}{space 3} 23.10212
{txt}{space 23}29  {c |}{col 28}{res}{space 2}-4.730445{col 40}{space 2} 22.31183{col 51}{space 1}   -0.21{col 60}{space 3}0.832{col 68}{space 4}-48.46082{col 81}{space 3} 38.99993
{txt}{space 23}30  {c |}{col 28}{res}{space 2}-6.984116{col 40}{space 2} 30.05591{col 51}{space 1}   -0.23{col 60}{space 3}0.816{col 68}{space 4}-65.89261{col 81}{space 3} 51.92438
{txt}{space 23}31  {c |}{col 28}{res}{space 2} 3.099987{col 40}{space 2} 3.535367{col 51}{space 1}    0.88{col 60}{space 3}0.381{col 68}{space 4}-3.829205{col 81}{space 3} 10.02918
{txt}{space 23}32  {c |}{col 28}{res}{space 2} 4.466627{col 40}{space 2} 1.688973{col 51}{space 1}    2.64{col 60}{space 3}0.008{col 68}{space 4} 1.156301{col 81}{space 3} 7.776954
{txt}{space 23}33  {c |}{col 28}{res}{space 2} 2.313581{col 40}{space 2} 1.300959{col 51}{space 1}    1.78{col 60}{space 3}0.075{col 68}{space 4}-.2362508{col 81}{space 3} 4.863413
{txt}{space 23}34  {c |}{col 28}{res}{space 2} 2.090242{col 40}{space 2}  2.80465{col 51}{space 1}    0.75{col 60}{space 3}0.456{col 68}{space 4}-3.406772{col 81}{space 3} 7.587255
{txt}{space 23}35  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}36  {c |}{col 28}{res}{space 2}   4.2502{col 40}{space 2} 2.294968{col 51}{space 1}    1.85{col 60}{space 3}0.064{col 68}{space 4}-.2478551{col 81}{space 3} 8.748255
{txt}{space 23}37  {c |}{col 28}{res}{space 2}  3.18563{col 40}{space 2}  2.13356{col 51}{space 1}    1.49{col 60}{space 3}0.135{col 68}{space 4}-.9960715{col 81}{space 3} 7.367332
{txt}{space 23}38  {c |}{col 28}{res}{space 2} 4.041182{col 40}{space 2} 1.752431{col 51}{space 1}    2.31{col 60}{space 3}0.021{col 68}{space 4} .6064801{col 81}{space 3} 7.475883
{txt}{space 23}39  {c |}{col 28}{res}{space 2} 4.426201{col 40}{space 2} 1.955603{col 51}{space 1}    2.26{col 60}{space 3}0.024{col 68}{space 4} .5932896{col 81}{space 3} 8.259112
{txt}{space 23}40  {c |}{col 28}{res}{space 2} 3.535291{col 40}{space 2} 1.768134{col 51}{space 1}    2.00{col 60}{space 3}0.046{col 68}{space 4} .0698131{col 81}{space 3}  7.00077
{txt}{space 23}41  {c |}{col 28}{res}{space 2} 3.072361{col 40}{space 2} 1.704866{col 51}{space 1}    1.80{col 60}{space 3}0.072{col 68}{space 4}-.2691155{col 81}{space 3} 6.413838
{txt}{space 23}42  {c |}{col 28}{res}{space 2} .6203417{col 40}{space 2} 1.803008{col 51}{space 1}    0.34{col 60}{space 3}0.731{col 68}{space 4}-2.913489{col 81}{space 3} 4.154172
{txt}{space 23}43  {c |}{col 28}{res}{space 2} 3.360331{col 40}{space 2} 1.841732{col 51}{space 1}    1.82{col 60}{space 3}0.068{col 68}{space 4}-.2493987{col 81}{space 3}  6.97006
{txt}{space 23}44  {c |}{col 28}{res}{space 2} 1.887662{col 40}{space 2} 1.448279{col 51}{space 1}    1.30{col 60}{space 3}0.192{col 68}{space 4}-.9509125{col 81}{space 3} 4.726236
{txt}{space 23}45  {c |}{col 28}{res}{space 2} 3.893338{col 40}{space 2} 1.609617{col 51}{space 1}    2.42{col 60}{space 3}0.016{col 68}{space 4} .7385462{col 81}{space 3}  7.04813
{txt}{space 23}46  {c |}{col 28}{res}{space 2} 2.187493{col 40}{space 2} 1.712393{col 51}{space 1}    1.28{col 60}{space 3}0.201{col 68}{space 4}-1.168736{col 81}{space 3} 5.543723
{txt}{space 23}47  {c |}{col 28}{res}{space 2} 4.531296{col 40}{space 2} 2.614211{col 51}{space 1}    1.73{col 60}{space 3}0.083{col 68}{space 4}-.5924626{col 81}{space 3} 9.655056
{txt}{space 23}48  {c |}{col 28}{res}{space 2} 2.887883{col 40}{space 2} 1.498611{col 51}{space 1}    1.93{col 60}{space 3}0.054{col 68}{space 4}-.0493397{col 81}{space 3} 5.825106
{txt}{space 23}49  {c |}{col 28}{res}{space 2} 2.853625{col 40}{space 2}  2.30051{col 51}{space 1}    1.24{col 60}{space 3}0.215{col 68}{space 4}-1.655291{col 81}{space 3} 7.362542
{txt}{space 23}50  {c |}{col 28}{res}{space 2} 1.294298{col 40}{space 2} 1.800189{col 51}{space 1}    0.72{col 60}{space 3}0.472{col 68}{space 4}-2.234008{col 81}{space 3} 4.822603
{txt}{space 23}51  {c |}{col 28}{res}{space 2} 3.264649{col 40}{space 2} 1.900636{col 51}{space 1}    1.72{col 60}{space 3}0.086{col 68}{space 4}-.4605298{col 81}{space 3} 6.989827
{txt}{space 23}52  {c |}{col 28}{res}{space 2}  2.26229{col 40}{space 2} 2.600076{col 51}{space 1}    0.87{col 60}{space 3}0.384{col 68}{space 4}-2.833765{col 81}{space 3} 7.358345
{txt}{space 23}53  {c |}{col 28}{res}{space 2} .3174507{col 40}{space 2} .9834438{col 51}{space 1}    0.32{col 60}{space 3}0.747{col 68}{space 4}-1.610064{col 81}{space 3} 2.244965
{txt}{space 23}54  {c |}{col 28}{res}{space 2}  1.52522{col 40}{space 2}  2.30351{col 51}{space 1}    0.66{col 60}{space 3}0.508{col 68}{space 4}-2.989577{col 81}{space 3} 6.040017
{txt}{space 23}55  {c |}{col 28}{res}{space 2} .7189259{col 40}{space 2} 1.472236{col 51}{space 1}    0.49{col 60}{space 3}0.625{col 68}{space 4}-2.166604{col 81}{space 3} 3.604456
{txt}{space 23}56  {c |}{col 28}{res}{space 2} 1.304257{col 40}{space 2} 1.553854{col 51}{space 1}    0.84{col 60}{space 3}0.401{col 68}{space 4} -1.74124{col 81}{space 3} 4.349755
{txt}{space 23}57  {c |}{col 28}{res}{space 2} 2.960143{col 40}{space 2} 1.601517{col 51}{space 1}    1.85{col 60}{space 3}0.065{col 68}{space 4}-.1787717{col 81}{space 3} 6.099059
{txt}{space 23}58  {c |}{col 28}{res}{space 2} .1702909{col 40}{space 2} 1.877712{col 51}{space 1}    0.09{col 60}{space 3}0.928{col 68}{space 4}-3.509958{col 81}{space 3} 3.850539
{txt}{space 23}59  {c |}{col 28}{res}{space 2} 1.045277{col 40}{space 2} 1.662981{col 51}{space 1}    0.63{col 60}{space 3}0.530{col 68}{space 4}-2.214105{col 81}{space 3} 4.304659
{txt}{space 23}60  {c |}{col 28}{res}{space 2} -.059927{col 40}{space 2} .6571087{col 51}{space 1}   -0.09{col 60}{space 3}0.927{col 68}{space 4}-1.347836{col 81}{space 3} 1.227982
{txt}{space 23}61  {c |}{col 28}{res}{space 2}-.1765974{col 40}{space 2} .8349734{col 51}{space 1}   -0.21{col 60}{space 3}0.832{col 68}{space 4}-1.813115{col 81}{space 3}  1.45992
{txt}{space 23}62  {c |}{col 28}{res}{space 2} .4391167{col 40}{space 2} 1.844745{col 51}{space 1}    0.24{col 60}{space 3}0.812{col 68}{space 4}-3.176517{col 81}{space 3}  4.05475
{txt}{space 23}63  {c |}{col 28}{res}{space 2}  .179302{col 40}{space 2} .7557147{col 51}{space 1}    0.24{col 60}{space 3}0.812{col 68}{space 4}-1.301872{col 81}{space 3} 1.660476
{txt}{space 23}64  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}65  {c |}{col 28}{res}{space 2} .6095275{col 40}{space 2} .7350954{col 51}{space 1}    0.83{col 60}{space 3}0.407{col 68}{space 4}-.8312331{col 81}{space 3} 2.050288
{txt}{space 23}66  {c |}{col 28}{res}{space 2}-.9160636{col 40}{space 2} 1.513764{col 51}{space 1}   -0.61{col 60}{space 3}0.545{col 68}{space 4}-3.882987{col 81}{space 3}  2.05086
{txt}{space 23}67  {c |}{col 28}{res}{space 2} .2617813{col 40}{space 2} .9824055{col 51}{space 1}    0.27{col 60}{space 3}0.790{col 68}{space 4}-1.663698{col 81}{space 3} 2.187261
{txt}{space 23}68  {c |}{col 28}{res}{space 2}-.9333633{col 40}{space 2} .6952972{col 51}{space 1}   -1.34{col 60}{space 3}0.179{col 68}{space 4}-2.296121{col 81}{space 3} .4293942
{txt}{space 23}69  {c |}{col 28}{res}{space 2} .1923132{col 40}{space 2} .8385083{col 51}{space 1}    0.23{col 60}{space 3}0.819{col 68}{space 4}-1.451133{col 81}{space 3} 1.835759
{txt}{space 23}70  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}71  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}72  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}73  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}74  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}75  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2} 5.145537{col 40}{space 2} 3.132461{col 51}{space 1}    1.64{col 60}{space 3}0.100{col 68}{space 4}-.9939732{col 81}{space 3} 11.28505
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 21}/ln_r {c |}{col 28}{res}{space 2} .3176661{col 40}{space 2} .1943643{col 68}{space 4} -.063281{col 81}{space 3} .6986131
{txt}{space 21}/ln_s {c |}{col 28}{res}{space 2}  2.53575{col 40}{space 2}  .269386{col 68}{space 4} 2.007763{col 81}{space 3} 3.063737
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                         r {c |}{col 28}{res}{space 2} 1.373917{col 40}{space 2} .2670405{col 68}{space 4} .9386797{col 81}{space 3} 2.010962
{txt}                         s {c |}{col 28}{res}{space 2} 12.62589{col 40}{space 2} 3.401239{col 68}{space 4} 7.446639{col 81}{space 3}  21.4074
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{txt}LR test vs. pooled: {help j_chibar##|_new:chibar2(01) = }{res}193.64{col 56}{txt}Prob >= chibar2 = {res}0.000
{txt}
{com}. 
. xtnbreg total_criminal_cases lag_criminal_cases ln_cum_maoist_victims peoples_govt_active ln_abs_total2001 percent_votes1991_1999_GAP   ///
> litrate_1991_2001_GAP road_density_GAP year2002 hilli_region mountain_region region_east region_mid region_west region_farwest i.sno if year>1995 & year<2007 
{txt}note: 35.sno omitted because of collinearity
note: 64.sno omitted because of collinearity
note: 70.sno omitted because of collinearity
note: 71.sno omitted because of collinearity
note: 72.sno omitted because of collinearity
note: 73.sno omitted because of collinearity
note: 74.sno omitted because of collinearity
note: 75.sno omitted because of collinearity

Fitting negative binomial (constant dispersion) model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1186276.3}  
Iteration 1:{space 3}log likelihood = {res:-340378.22}  
Iteration 2:{space 3}log likelihood = {res:-171428.97}  
Iteration 3:{space 3}log likelihood = {res:-44467.498}  
Iteration 4:{space 3}log likelihood = {res:-14112.215}  
Iteration 5:{space 3}log likelihood = {res:-13184.882}  
Iteration 6:{space 3}log likelihood = {res:-13179.628}  
Iteration 7:{space 3}log likelihood = {res:-13179.628}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-93080.224}  
Iteration 1:{space 3}log likelihood = {res:-12995.468}  
Iteration 2:{space 3}log likelihood = {res:-6279.1285}  (backed up)
Iteration 3:{space 3}log likelihood = {res: -5681.269}  
Iteration 4:{space 3}log likelihood = {res:-5675.3875}  
Iteration 5:{space 3}log likelihood = {res:-5675.3663}  
Iteration 6:{space 3}log likelihood = {res:-5675.3663}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-5675.3663}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-5542.8183}  (not concave)
Iteration 2:{space 3}log likelihood = {res:-5264.6787}  (not concave)
Iteration 3:{space 3}log likelihood = {res:-4983.6778}  
Iteration 4:{space 3}log likelihood = {res:-4943.9554}  
Iteration 5:{space 3}log likelihood = {res:-4857.6558}  
Iteration 6:{space 3}log likelihood = {res:-4654.0657}  
Iteration 7:{space 3}log likelihood = {res:-4651.1936}  
Iteration 8:{space 3}log likelihood = {res:-4651.1804}  
Iteration 9:{space 3}log likelihood = {res:-4651.1804}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-8726.6571}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-6273.4407}  (not concave)
Iteration 2:{space 3}log likelihood = {res:-4773.5397}  
Iteration 3:{space 3}log likelihood = {res:-4644.3736}  
Iteration 4:{space 3}log likelihood = {res:-4578.3462}  
Iteration 5:{space 3}log likelihood = {res:-4565.8982}  
Iteration 6:{space 3}log likelihood = {res:-4562.6751}  
Iteration 7:{space 3}log likelihood = {res:-4562.6377}  
Iteration 8:{space 3}log likelihood = {res:-4562.6377}  
{res}
{txt}Random-effects negative binomial regression{col 49}Number of obs{col 67}={col 69}{res}       825
{txt}Group variable: {res}sno{col 49}{txt}Number of groups{col 67}={col 69}{res}        75

{txt}Random effects u_i ~ {res}Beta{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        11
{txt}{col 63}avg{col 67}={col 69}{res}      11.0
{txt}{col 63}max{col 67}={col 69}{res}        11

{txt}{col 49}Wald chi2({res}80{txt}){col 67}={col 70}{res}  2237.19
{txt}Log likelihood  = {res}-4562.6377{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      total_criminal_cases{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}lag_criminal_cases {c |}{col 28}{res}{space 2} .0002232{col 40}{space 2} .0000703{col 51}{space 1}    3.17{col 60}{space 3}0.002{col 68}{space 4} .0000854{col 81}{space 3}  .000361
{txt}{space 5}ln_cum_maoist_victims {c |}{col 28}{res}{space 2}  -.11541{col 40}{space 2} .0128935{col 51}{space 1}   -8.95{col 60}{space 3}0.000{col 68}{space 4}-.1406808{col 81}{space 3}-.0901392
{txt}{space 7}peoples_govt_active {c |}{col 28}{res}{space 2}-.1838254{col 40}{space 2} .0355473{col 51}{space 1}   -5.17{col 60}{space 3}0.000{col 68}{space 4}-.2534968{col 81}{space 3} -.114154
{txt}{space 10}ln_abs_total2001 {c |}{col 28}{res}{space 2}-.1731817{col 40}{space 2} .4310917{col 51}{space 1}   -0.40{col 60}{space 3}0.688{col 68}{space 4}-1.018106{col 81}{space 3} .6717424
{txt}percent_votes1991_1999_GAP {c |}{col 28}{res}{space 2} .0131204{col 40}{space 2} .0045804{col 51}{space 1}    2.86{col 60}{space 3}0.004{col 68}{space 4} .0041429{col 81}{space 3} .0220979
{txt}{space 5}litrate_1991_2001_GAP {c |}{col 28}{res}{space 2} .0126537{col 40}{space 2} .0039535{col 51}{space 1}    3.20{col 60}{space 3}0.001{col 68}{space 4}  .004905{col 81}{space 3} .0204024
{txt}{space 10}road_density_GAP {c |}{col 28}{res}{space 2} .1486568{col 40}{space 2} 15.34257{col 51}{space 1}    0.01{col 60}{space 3}0.992{col 68}{space 4}-29.92224{col 81}{space 3} 30.21955
{txt}{space 18}year2002 {c |}{col 28}{res}{space 2}-.0158732{col 40}{space 2}  .039165{col 51}{space 1}   -0.41{col 60}{space 3}0.685{col 68}{space 4}-.0926353{col 81}{space 3} .0608889
{txt}{space 14}hilli_region {c |}{col 28}{res}{space 2}-1.655721{col 40}{space 2} .5838287{col 51}{space 1}   -2.84{col 60}{space 3}0.005{col 68}{space 4}-2.800004{col 81}{space 3}-.5114378
{txt}{space 11}mountain_region {c |}{col 28}{res}{space 2}-1.737899{col 40}{space 2} 1.894187{col 51}{space 1}   -0.92{col 60}{space 3}0.359{col 68}{space 4}-5.450437{col 81}{space 3} 1.974639
{txt}{space 15}region_east {c |}{col 28}{res}{space 2}  -1.1478{col 40}{space 2} 3.625555{col 51}{space 1}   -0.32{col 60}{space 3}0.752{col 68}{space 4}-8.253758{col 81}{space 3} 5.958157
{txt}{space 16}region_mid {c |}{col 28}{res}{space 2}-1.621412{col 40}{space 2} 1.283735{col 51}{space 1}   -1.26{col 60}{space 3}0.207{col 68}{space 4}-4.137487{col 81}{space 3} .8946634
{txt}{space 15}region_west {c |}{col 28}{res}{space 2}-1.370761{col 40}{space 2} .7513836{col 51}{space 1}   -1.82{col 60}{space 3}0.068{col 68}{space 4}-2.843446{col 81}{space 3} .1019239
{txt}{space 12}region_farwest {c |}{col 28}{res}{space 2} 1.289323{col 40}{space 2} 1.468175{col 51}{space 1}    0.88{col 60}{space 3}0.380{col 68}{space 4}-1.588248{col 81}{space 3} 4.166893
{txt}{space 26} {c |}
{space 23}sno {c |}
{space 24}2  {c |}{col 28}{res}{space 2} 2.296259{col 40}{space 2} 2.168014{col 51}{space 1}    1.06{col 60}{space 3}0.290{col 68}{space 4}-1.952971{col 81}{space 3} 6.545489
{txt}{space 24}3  {c |}{col 28}{res}{space 2}  2.69671{col 40}{space 2} 3.344905{col 51}{space 1}    0.81{col 60}{space 3}0.420{col 68}{space 4}-3.859184{col 81}{space 3} 9.252604
{txt}{space 24}4  {c |}{col 28}{res}{space 2} 2.823384{col 40}{space 2} 3.651633{col 51}{space 1}    0.77{col 60}{space 3}0.439{col 68}{space 4}-4.333685{col 81}{space 3} 9.980452
{txt}{space 24}5  {c |}{col 28}{res}{space 2}-.0889854{col 40}{space 2} .5843434{col 51}{space 1}   -0.15{col 60}{space 3}0.879{col 68}{space 4}-1.234277{col 81}{space 3} 1.056307
{txt}{space 24}6  {c |}{col 28}{res}{space 2}  2.77599{col 40}{space 2} .6400108{col 51}{space 1}    4.34{col 60}{space 3}0.000{col 68}{space 4} 1.521591{col 81}{space 3} 4.030388
{txt}{space 24}7  {c |}{col 28}{res}{space 2} 2.936452{col 40}{space 2} 2.186528{col 51}{space 1}    1.34{col 60}{space 3}0.179{col 68}{space 4}-1.349063{col 81}{space 3} 7.221968
{txt}{space 24}8  {c |}{col 28}{res}{space 2} 1.712616{col 40}{space 2} 4.336568{col 51}{space 1}    0.39{col 60}{space 3}0.693{col 68}{space 4}-6.786902{col 81}{space 3} 10.21213
{txt}{space 24}9  {c |}{col 28}{res}{space 2} 2.226867{col 40}{space 2} 5.424531{col 51}{space 1}    0.41{col 60}{space 3}0.681{col 68}{space 4}-8.405018{col 81}{space 3} 12.85875
{txt}{space 23}10  {c |}{col 28}{res}{space 2} 3.038687{col 40}{space 2} 3.665848{col 51}{space 1}    0.83{col 60}{space 3}0.407{col 68}{space 4}-4.146244{col 81}{space 3} 10.22362
{txt}{space 23}11  {c |}{col 28}{res}{space 2} 2.447866{col 40}{space 2} 2.125091{col 51}{space 1}    1.15{col 60}{space 3}0.249{col 68}{space 4}-1.717236{col 81}{space 3} 6.612969
{txt}{space 23}12  {c |}{col 28}{res}{space 2} 3.126425{col 40}{space 2} 1.819524{col 51}{space 1}    1.72{col 60}{space 3}0.086{col 68}{space 4}-.4397758{col 81}{space 3} 6.692625
{txt}{space 23}13  {c |}{col 28}{res}{space 2} 2.046836{col 40}{space 2} 3.903473{col 51}{space 1}    0.52{col 60}{space 3}0.600{col 68}{space 4} -5.60383{col 81}{space 3} 9.697501
{txt}{space 23}14  {c |}{col 28}{res}{space 2} 1.809785{col 40}{space 2} 5.477691{col 51}{space 1}    0.33{col 60}{space 3}0.741{col 68}{space 4}-8.926292{col 81}{space 3} 12.54586
{txt}{space 23}15  {c |}{col 28}{res}{space 2} 2.189701{col 40}{space 2} 4.830979{col 51}{space 1}    0.45{col 60}{space 3}0.650{col 68}{space 4}-7.278843{col 81}{space 3} 11.65825
{txt}{space 23}16  {c |}{col 28}{res}{space 2} 1.423369{col 40}{space 2} 3.710848{col 51}{space 1}    0.38{col 60}{space 3}0.701{col 68}{space 4}-5.849759{col 81}{space 3} 8.696496
{txt}{space 23}17  {c |}{col 28}{res}{space 2} -1.21305{col 40}{space 2} 7.452273{col 51}{space 1}   -0.16{col 60}{space 3}0.871{col 68}{space 4}-15.81924{col 81}{space 3} 13.39314
{txt}{space 23}18  {c |}{col 28}{res}{space 2} 2.254435{col 40}{space 2} 5.818925{col 51}{space 1}    0.39{col 60}{space 3}0.698{col 68}{space 4}-9.150449{col 81}{space 3} 13.65932
{txt}{space 23}19  {c |}{col 28}{res}{space 2} 3.031934{col 40}{space 2} 4.943323{col 51}{space 1}    0.61{col 60}{space 3}0.540{col 68}{space 4}  -6.6568{col 81}{space 3} 12.72067
{txt}{space 23}20  {c |}{col 28}{res}{space 2} 3.963963{col 40}{space 2}  1.36755{col 51}{space 1}    2.90{col 60}{space 3}0.004{col 68}{space 4} 1.283614{col 81}{space 3} 6.644313
{txt}{space 23}21  {c |}{col 28}{res}{space 2} 3.303614{col 40}{space 2} 1.488236{col 51}{space 1}    2.22{col 60}{space 3}0.026{col 68}{space 4} .3867251{col 81}{space 3} 6.220502
{txt}{space 23}22  {c |}{col 28}{res}{space 2} 2.321545{col 40}{space 2} 2.534425{col 51}{space 1}    0.92{col 60}{space 3}0.360{col 68}{space 4}-2.645836{col 81}{space 3} 7.288927
{txt}{space 23}23  {c |}{col 28}{res}{space 2} 2.815399{col 40}{space 2} 2.037898{col 51}{space 1}    1.38{col 60}{space 3}0.167{col 68}{space 4}-1.178808{col 81}{space 3} 6.809607
{txt}{space 23}24  {c |}{col 28}{res}{space 2} 1.847194{col 40}{space 2} 3.003038{col 51}{space 1}    0.62{col 60}{space 3}0.538{col 68}{space 4}-4.038652{col 81}{space 3}  7.73304
{txt}{space 23}25  {c |}{col 28}{res}{space 2} 1.170397{col 40}{space 2} 2.688565{col 51}{space 1}    0.44{col 60}{space 3}0.663{col 68}{space 4}-4.099094{col 81}{space 3} 6.439888
{txt}{space 23}26  {c |}{col 28}{res}{space 2}  2.07086{col 40}{space 2} 4.207176{col 51}{space 1}    0.49{col 60}{space 3}0.623{col 68}{space 4}-6.175052{col 81}{space 3} 10.31677
{txt}{space 23}27  {c |}{col 28}{res}{space 2} 4.005156{col 40}{space 2} 1.471293{col 51}{space 1}    2.72{col 60}{space 3}0.006{col 68}{space 4} 1.121476{col 81}{space 3} 6.888837
{txt}{space 23}28  {c |}{col 28}{res}{space 2} 2.665081{col 40}{space 2} 12.19871{col 51}{space 1}    0.22{col 60}{space 3}0.827{col 68}{space 4}-21.24395{col 81}{space 3} 26.57412
{txt}{space 23}29  {c |}{col 28}{res}{space 2}  2.15307{col 40}{space 2} 22.33224{col 51}{space 1}    0.10{col 60}{space 3}0.923{col 68}{space 4}-41.61732{col 81}{space 3} 45.92346
{txt}{space 23}30  {c |}{col 28}{res}{space 2} 2.036582{col 40}{space 2} 30.07241{col 51}{space 1}    0.07{col 60}{space 3}0.946{col 68}{space 4}-56.90426{col 81}{space 3} 60.97742
{txt}{space 23}31  {c |}{col 28}{res}{space 2} 4.098846{col 40}{space 2} 3.528852{col 51}{space 1}    1.16{col 60}{space 3}0.245{col 68}{space 4}-2.817577{col 81}{space 3} 11.01527
{txt}{space 23}32  {c |}{col 28}{res}{space 2} 4.859329{col 40}{space 2} 1.683083{col 51}{space 1}    2.89{col 60}{space 3}0.004{col 68}{space 4} 1.560547{col 81}{space 3} 8.158111
{txt}{space 23}33  {c |}{col 28}{res}{space 2} 2.484228{col 40}{space 2} 1.304142{col 51}{space 1}    1.90{col 60}{space 3}0.057{col 68}{space 4}-.0718435{col 81}{space 3} 5.040299
{txt}{space 23}34  {c |}{col 28}{res}{space 2} 2.702293{col 40}{space 2} 2.790882{col 51}{space 1}    0.97{col 60}{space 3}0.333{col 68}{space 4}-2.767735{col 81}{space 3} 8.172321
{txt}{space 23}35  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}36  {c |}{col 28}{res}{space 2} 4.641746{col 40}{space 2}   2.2829{col 51}{space 1}    2.03{col 60}{space 3}0.042{col 68}{space 4}  .167345{col 81}{space 3} 9.116148
{txt}{space 23}37  {c |}{col 28}{res}{space 2} 2.556277{col 40}{space 2} 2.147695{col 51}{space 1}    1.19{col 60}{space 3}0.234{col 68}{space 4}-1.653128{col 81}{space 3} 6.765683
{txt}{space 23}38  {c |}{col 28}{res}{space 2} 3.484446{col 40}{space 2} 1.757445{col 51}{space 1}    1.98{col 60}{space 3}0.047{col 68}{space 4} .0399166{col 81}{space 3} 6.928975
{txt}{space 23}39  {c |}{col 28}{res}{space 2} 4.301429{col 40}{space 2} 1.964583{col 51}{space 1}    2.19{col 60}{space 3}0.029{col 68}{space 4} .4509181{col 81}{space 3}  8.15194
{txt}{space 23}40  {c |}{col 28}{res}{space 2} 3.629813{col 40}{space 2}  1.75584{col 51}{space 1}    2.07{col 60}{space 3}0.039{col 68}{space 4} .1884307{col 81}{space 3} 7.071195
{txt}{space 23}41  {c |}{col 28}{res}{space 2}  2.27832{col 40}{space 2} 1.706018{col 51}{space 1}    1.34{col 60}{space 3}0.182{col 68}{space 4}-1.065414{col 81}{space 3} 5.622054
{txt}{space 23}42  {c |}{col 28}{res}{space 2} 1.410252{col 40}{space 2} 1.792314{col 51}{space 1}    0.79{col 60}{space 3}0.431{col 68}{space 4} -2.10262{col 81}{space 3} 4.923124
{txt}{space 23}43  {c |}{col 28}{res}{space 2} 3.569978{col 40}{space 2} 1.827864{col 51}{space 1}    1.95{col 60}{space 3}0.051{col 68}{space 4}-.0125702{col 81}{space 3} 7.152527
{txt}{space 23}44  {c |}{col 28}{res}{space 2}  2.24989{col 40}{space 2} 1.442167{col 51}{space 1}    1.56{col 60}{space 3}0.119{col 68}{space 4} -.576706{col 81}{space 3} 5.076487
{txt}{space 23}45  {c |}{col 28}{res}{space 2} 4.020231{col 40}{space 2} 1.601291{col 51}{space 1}    2.51{col 60}{space 3}0.012{col 68}{space 4} .8817578{col 81}{space 3} 7.158705
{txt}{space 23}46  {c |}{col 28}{res}{space 2} 2.266698{col 40}{space 2} 1.708288{col 51}{space 1}    1.33{col 60}{space 3}0.185{col 68}{space 4}-1.081484{col 81}{space 3}  5.61488
{txt}{space 23}47  {c |}{col 28}{res}{space 2}  3.77376{col 40}{space 2} 2.628857{col 51}{space 1}    1.44{col 60}{space 3}0.151{col 68}{space 4}-1.378704{col 81}{space 3} 8.926224
{txt}{space 23}48  {c |}{col 28}{res}{space 2} 2.705682{col 40}{space 2} 1.501592{col 51}{space 1}    1.80{col 60}{space 3}0.072{col 68}{space 4}-.2373841{col 81}{space 3} 5.648748
{txt}{space 23}49  {c |}{col 28}{res}{space 2} 2.167264{col 40}{space 2} 2.310973{col 51}{space 1}    0.94{col 60}{space 3}0.348{col 68}{space 4}-2.362161{col 81}{space 3} 6.696688
{txt}{space 23}50  {c |}{col 28}{res}{space 2} 1.042505{col 40}{space 2} 1.807904{col 51}{space 1}    0.58{col 60}{space 3}0.564{col 68}{space 4}-2.500922{col 81}{space 3} 4.585931
{txt}{space 23}51  {c |}{col 28}{res}{space 2} 2.895113{col 40}{space 2} 1.908747{col 51}{space 1}    1.52{col 60}{space 3}0.129{col 68}{space 4}-.8459622{col 81}{space 3} 6.636188
{txt}{space 23}52  {c |}{col 28}{res}{space 2} 1.422336{col 40}{space 2} 2.636656{col 51}{space 1}    0.54{col 60}{space 3}0.590{col 68}{space 4}-3.745415{col 81}{space 3} 6.590086
{txt}{space 23}53  {c |}{col 28}{res}{space 2} .2416804{col 40}{space 2} .9871683{col 51}{space 1}    0.24{col 60}{space 3}0.807{col 68}{space 4}-1.693134{col 81}{space 3} 2.176495
{txt}{space 23}54  {c |}{col 28}{res}{space 2} .7338951{col 40}{space 2} 2.328863{col 51}{space 1}    0.32{col 60}{space 3}0.753{col 68}{space 4}-3.830592{col 81}{space 3} 5.298382
{txt}{space 23}55  {c |}{col 28}{res}{space 2} .2576781{col 40}{space 2} 1.474373{col 51}{space 1}    0.17{col 60}{space 3}0.861{col 68}{space 4}-2.632041{col 81}{space 3} 3.147397
{txt}{space 23}56  {c |}{col 28}{res}{space 2} 1.227656{col 40}{space 2} 1.556342{col 51}{space 1}    0.79{col 60}{space 3}0.430{col 68}{space 4}-1.822718{col 81}{space 3} 4.278029
{txt}{space 23}57  {c |}{col 28}{res}{space 2}  2.81444{col 40}{space 2} 1.604457{col 51}{space 1}    1.75{col 60}{space 3}0.079{col 68}{space 4}-.3302383{col 81}{space 3} 5.959119
{txt}{space 23}58  {c |}{col 28}{res}{space 2}-.3244357{col 40}{space 2} 1.889664{col 51}{space 1}   -0.17{col 60}{space 3}0.864{col 68}{space 4} -4.02811{col 81}{space 3} 3.379239
{txt}{space 23}59  {c |}{col 28}{res}{space 2} .9198229{col 40}{space 2} 1.676342{col 51}{space 1}    0.55{col 60}{space 3}0.583{col 68}{space 4}-2.365747{col 81}{space 3} 4.205393
{txt}{space 23}60  {c |}{col 28}{res}{space 2}-.0631969{col 40}{space 2}  .653978{col 51}{space 1}   -0.10{col 60}{space 3}0.923{col 68}{space 4} -1.34497{col 81}{space 3} 1.218576
{txt}{space 23}61  {c |}{col 28}{res}{space 2}-.2638869{col 40}{space 2} .8411585{col 51}{space 1}   -0.31{col 60}{space 3}0.754{col 68}{space 4}-1.912527{col 81}{space 3} 1.384754
{txt}{space 23}62  {c |}{col 28}{res}{space 2}-.0887346{col 40}{space 2} 1.853542{col 51}{space 1}   -0.05{col 60}{space 3}0.962{col 68}{space 4}-3.721611{col 81}{space 3} 3.544142
{txt}{space 23}63  {c |}{col 28}{res}{space 2} -.119078{col 40}{space 2}  .756963{col 51}{space 1}   -0.16{col 60}{space 3}0.875{col 68}{space 4}-1.602698{col 81}{space 3} 1.364542
{txt}{space 23}64  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}65  {c |}{col 28}{res}{space 2} .6266488{col 40}{space 2} .7375452{col 51}{space 1}    0.85{col 60}{space 3}0.396{col 68}{space 4}-.8189133{col 81}{space 3} 2.072211
{txt}{space 23}66  {c |}{col 28}{res}{space 2}-1.127821{col 40}{space 2}  1.52688{col 51}{space 1}   -0.74{col 60}{space 3}0.460{col 68}{space 4}-4.120451{col 81}{space 3} 1.864809
{txt}{space 23}67  {c |}{col 28}{res}{space 2} .1597629{col 40}{space 2} .9916577{col 51}{space 1}    0.16{col 60}{space 3}0.872{col 68}{space 4}-1.783851{col 81}{space 3} 2.103376
{txt}{space 23}68  {c |}{col 28}{res}{space 2} -.992919{col 40}{space 2} .6955071{col 51}{space 1}   -1.43{col 60}{space 3}0.153{col 68}{space 4}-2.356088{col 81}{space 3} .3702499
{txt}{space 23}69  {c |}{col 28}{res}{space 2} .0064415{col 40}{space 2} .8389484{col 51}{space 1}    0.01{col 60}{space 3}0.994{col 68}{space 4}-1.637867{col 81}{space 3}  1.65075
{txt}{space 23}70  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}71  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}72  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}73  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}74  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}75  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2} 4.510241{col 40}{space 2} 3.146992{col 51}{space 1}    1.43{col 60}{space 3}0.152{col 68}{space 4}-1.657749{col 81}{space 3} 10.67823
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 21}/ln_r {c |}{col 28}{res}{space 2} .3082189{col 40}{space 2} .1981489{col 68}{space 4}-.0801458{col 81}{space 3} .6965836
{txt}{space 21}/ln_s {c |}{col 28}{res}{space 2} 2.572805{col 40}{space 2} .2769677{col 68}{space 4} 2.029959{col 81}{space 3} 3.115652
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                         r {c |}{col 28}{res}{space 2} 1.360999{col 40}{space 2} .2696804{col 68}{space 4} .9229817{col 81}{space 3} 2.006885
{txt}                         s {c |}{col 28}{res}{space 2} 13.10253{col 40}{space 2} 3.628977{col 68}{space 4} 7.613772{col 81}{space 3} 22.54813
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{txt}LR test vs. pooled: {help j_chibar##|_new:chibar2(01) = }{res}177.09{col 56}{txt}Prob >= chibar2 = {res}0.000
{txt}
{com}. 
.  
. //Total Cases
. 
. xtnbreg total_court_cases lag_total_cases ln_cum_state_victims peoples_govt_active ln_abs_total2001 percent_votes1991_1999_GAP  ///
> litrate_1991_2001_GAP road_density_GAP year2002 hilli_region mountain_region region_east region_mid region_west region_farwest i.sno if year>1995 & year<2007 
{txt}note: 35.sno omitted because of collinearity
note: 64.sno omitted because of collinearity
note: 70.sno omitted because of collinearity
note: 71.sno omitted because of collinearity
note: 72.sno omitted because of collinearity
note: 73.sno omitted because of collinearity
note: 74.sno omitted because of collinearity
note: 75.sno omitted because of collinearity

Fitting negative binomial (constant dispersion) model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-2411941.1}  
Iteration 1:{space 3}log likelihood = {res: -960475.3}  
Iteration 2:{space 3}log likelihood = {res:-350032.44}  
Iteration 3:{space 3}log likelihood = {res:-36783.069}  
Iteration 4:{space 3}log likelihood = {res:-20608.042}  
Iteration 5:{space 3}log likelihood = {res:-20380.722}  
Iteration 6:{space 3}log likelihood = {res:-20380.674}  
Iteration 7:{space 3}log likelihood = {res:-20380.674}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-299668.31}  
Iteration 1:{space 3}log likelihood = {res:-17080.989}  
Iteration 2:{space 3}log likelihood = {res:-7903.8285}  (backed up)
Iteration 3:{space 3}log likelihood = {res:-6575.5695}  
Iteration 4:{space 3}log likelihood = {res:-6486.5743}  
Iteration 5:{space 3}log likelihood = {res:-6478.1043}  
Iteration 6:{space 3}log likelihood = {res:-6478.0828}  
Iteration 7:{space 3}log likelihood = {res:-6478.0828}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-6478.0828}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-6341.9144}  (not concave)
Iteration 2:{space 3}log likelihood = {res:-6133.7161}  (not concave)
Iteration 3:{space 3}log likelihood = {res:-5730.6149}  (not concave)
Iteration 4:{space 3}log likelihood = {res:-5527.0281}  
Iteration 5:{space 3}log likelihood = {res:-5255.9978}  
Iteration 6:{space 3}log likelihood = {res:-5173.3014}  
Iteration 7:{space 3}log likelihood = {res:-5159.5119}  
Iteration 8:{space 3}log likelihood = {res:-5159.1043}  
Iteration 9:{space 3}log likelihood = {res:-5159.1031}  
Iteration 10:{space 2}log likelihood = {res:-5159.1031}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-12505.601}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-7183.6151}  (not concave)
Iteration 2:{space 3}log likelihood = {res:  -6696.11}  (not concave)
Iteration 3:{space 3}log likelihood = {res:-6479.1175}  (not concave)
Iteration 4:{space 3}log likelihood = {res:-5525.6986}  
Iteration 5:{space 3}log likelihood = {res:-5412.2544}  (not concave)
Iteration 6:{space 3}log likelihood = {res:-5322.0979}  
Iteration 7:{space 3}log likelihood = {res:-5237.5007}  (not concave)
Iteration 8:{space 3}log likelihood = {res:-5228.8028}  (not concave)
Iteration 9:{space 3}log likelihood = {res:-5224.9316}  (not concave)
Iteration 10:{space 2}log likelihood = {res:-5223.0136}  (not concave)
Iteration 11:{space 2}log likelihood = {res: -5218.804}  (not concave)
Iteration 12:{space 2}log likelihood = {res:-5214.2801}  (not concave)
Iteration 13:{space 2}log likelihood = {res:-5213.4687}  (not concave)
Iteration 14:{space 2}log likelihood = {res:-5212.8508}  (not concave)
Iteration 15:{space 2}log likelihood = {res:-5212.2797}  (not concave)
Iteration 16:{space 2}log likelihood = {res: -5211.604}  (not concave)
Iteration 17:{space 2}log likelihood = {res:-5210.6749}  (not concave)
Iteration 18:{space 2}log likelihood = {res: -5210.247}  (not concave)
Iteration 19:{space 2}log likelihood = {res:-5209.8512}  (not concave)
Iteration 20:{space 2}log likelihood = {res:-5209.4754}  (not concave)
Iteration 21:{space 2}log likelihood = {res: -5209.121}  (not concave)
Iteration 22:{space 2}log likelihood = {res: -5208.788}  (not concave)
Iteration 23:{space 2}log likelihood = {res:-5208.4727}  (not concave)
Iteration 24:{space 2}log likelihood = {res:-5208.1745}  (not concave)
Iteration 25:{space 2}log likelihood = {res:-5207.8921}  (not concave)
Iteration 26:{space 2}log likelihood = {res:-5207.6247}  (not concave)
Iteration 27:{space 2}log likelihood = {res:-5207.3706}  (not concave)
Iteration 28:{space 2}log likelihood = {res:-5207.1295}  (not concave)
Iteration 29:{space 2}log likelihood = {res:-5206.9002}  (not concave)
Iteration 30:{space 2}log likelihood = {res:-5206.6821}  (not concave)
Iteration 31:{space 2}log likelihood = {res:-5206.4742}  (not concave)
Iteration 32:{space 2}log likelihood = {res:-5206.2761}  (not concave)
Iteration 33:{space 2}log likelihood = {res:-5206.0869}  (not concave)
Iteration 34:{space 2}log likelihood = {res:-5205.9063}  (not concave)
Iteration 35:{space 2}log likelihood = {res:-5205.7336}  (not concave)
Iteration 36:{space 2}log likelihood = {res:-5205.5684}  (not concave)
Iteration 37:{space 2}log likelihood = {res:  -5205.41}  (not concave)
Iteration 38:{space 2}log likelihood = {res:-5205.2583}  (not concave)
Iteration 39:{space 2}log likelihood = {res:-5205.1127}  (not concave)
Iteration 40:{space 2}log likelihood = {res:-5204.9729}  (not concave)
Iteration 41:{space 2}log likelihood = {res:-5204.8384}  (not concave)
Iteration 42:{space 2}log likelihood = {res:-5204.7091}  (not concave)
Iteration 43:{space 2}log likelihood = {res:-5204.5846}  (not concave)
Iteration 44:{space 2}log likelihood = {res:-5204.4646}  (not concave)
Iteration 45:{space 2}log likelihood = {res:-5204.3488}  (not concave)
Iteration 46:{space 2}log likelihood = {res: -5204.237}  (not concave)
Iteration 47:{space 2}log likelihood = {res: -5204.129}  (not concave)
Iteration 48:{space 2}log likelihood = {res:-5204.0246}  (not concave)
Iteration 49:{space 2}log likelihood = {res:-5203.9234}  (not concave)
Iteration 50:{space 2}log likelihood = {res:-5203.8255}  (not concave)
Iteration 51:{space 2}log likelihood = {res:-5203.7305}  (not concave)
Iteration 52:{space 2}log likelihood = {res:-5203.6383}  (not concave)
Iteration 53:{space 2}log likelihood = {res:-5203.5488}  (not concave)
Iteration 54:{space 2}log likelihood = {res:-5203.4618}  (not concave)
Iteration 55:{space 2}log likelihood = {res:-5203.3771}  (not concave)
Iteration 56:{space 2}log likelihood = {res:-5203.2947}  (not concave)
Iteration 57:{space 2}log likelihood = {res:-5203.2143}  (not concave)
Iteration 58:{space 2}log likelihood = {res: -5203.136}  (not concave)
Iteration 59:{space 2}log likelihood = {res:-5203.0596}  (not concave)
Iteration 60:{space 2}log likelihood = {res: -5202.985}  (not concave)
Iteration 61:{space 2}log likelihood = {res: -5202.912}  (not concave)
Iteration 62:{space 2}log likelihood = {res:-5202.8406}  (not concave)
Iteration 63:{space 2}log likelihood = {res:-5202.7708}  (not concave)
Iteration 64:{space 2}log likelihood = {res:-5202.7024}  (not concave)
Iteration 65:{space 2}log likelihood = {res:-5202.6353}  (not concave)
Iteration 66:{space 2}log likelihood = {res:-5202.5695}  (not concave)
Iteration 67:{space 2}log likelihood = {res:-5202.5049}  (not concave)
Iteration 68:{space 2}log likelihood = {res:-5202.4415}  (not concave)
Iteration 69:{space 2}log likelihood = {res:-5202.3792}  (not concave)
Iteration 70:{space 2}log likelihood = {res:-5202.3179}  (not concave)
Iteration 71:{space 2}log likelihood = {res:-5202.2576}  (not concave)
Iteration 72:{space 2}log likelihood = {res:-5202.1982}  (not concave)
Iteration 73:{space 2}log likelihood = {res:-5202.1398}  (not concave)
Iteration 74:{space 2}log likelihood = {res:-5202.0821}  (not concave)
Iteration 75:{space 2}log likelihood = {res:-5202.0253}  (not concave)
Iteration 76:{space 2}log likelihood = {res:-5198.1171}  
Iteration 77:{space 2}log likelihood = {res:-5190.9093}  
Iteration 78:{space 2}log likelihood = {res: -5188.468}  
Iteration 79:{space 2}log likelihood = {res:-5188.4328}  
Iteration 80:{space 2}log likelihood = {res:-5188.4327}  
{res}
{txt}Random-effects negative binomial regression{col 49}Number of obs{col 67}={col 69}{res}       825
{txt}Group variable: {res}sno{col 49}{txt}Number of groups{col 67}={col 69}{res}        75

{txt}Random effects u_i ~ {res}Beta{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        11
{txt}{col 63}avg{col 67}={col 69}{res}      11.0
{txt}{col 63}max{col 67}={col 69}{res}        11

{txt}{col 49}Wald chi2({res}80{txt}){col 67}={col 70}{res}  2256.44
{txt}Log likelihood  = {res}-5188.4327{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         total_court_cases{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}lag_total_cases {c |}{col 28}{res}{space 2} .0000889{col 40}{space 2} .0000239{col 51}{space 1}    3.72{col 60}{space 3}0.000{col 68}{space 4}  .000042{col 81}{space 3} .0001357
{txt}{space 6}ln_cum_state_victims {c |}{col 28}{res}{space 2}-.0920198{col 40}{space 2}  .009851{col 51}{space 1}   -9.34{col 60}{space 3}0.000{col 68}{space 4}-.1113273{col 81}{space 3}-.0727122
{txt}{space 7}peoples_govt_active {c |}{col 28}{res}{space 2}-.2088938{col 40}{space 2} .0315025{col 51}{space 1}   -6.63{col 60}{space 3}0.000{col 68}{space 4}-.2706375{col 81}{space 3}-.1471501
{txt}{space 10}ln_abs_total2001 {c |}{col 28}{res}{space 2} .4294896{col 40}{space 2} .4222803{col 51}{space 1}    1.02{col 60}{space 3}0.309{col 68}{space 4}-.3981645{col 81}{space 3} 1.257144
{txt}percent_votes1991_1999_GAP {c |}{col 28}{res}{space 2} .0034301{col 40}{space 2}  .004502{col 51}{space 1}    0.76{col 60}{space 3}0.446{col 68}{space 4}-.0053936{col 81}{space 3} .0122538
{txt}{space 5}litrate_1991_2001_GAP {c |}{col 28}{res}{space 2}  .008524{col 40}{space 2}  .003457{col 51}{space 1}    2.47{col 60}{space 3}0.014{col 68}{space 4} .0017483{col 81}{space 3} .0152996
{txt}{space 10}road_density_GAP {c |}{col 28}{res}{space 2}-22.05095{col 40}{space 2} 14.73988{col 51}{space 1}   -1.50{col 60}{space 3}0.135{col 68}{space 4}-50.94059{col 81}{space 3} 6.838686
{txt}{space 18}year2002 {c |}{col 28}{res}{space 2} .0791982{col 40}{space 2}  .037852{col 51}{space 1}    2.09{col 60}{space 3}0.036{col 68}{space 4} .0050096{col 81}{space 3} .1533868
{txt}{space 14}hilli_region {c |}{col 28}{res}{space 2} -2.40341{col 40}{space 2} .5640307{col 51}{space 1}   -4.26{col 60}{space 3}0.000{col 68}{space 4} -3.50889{col 81}{space 3}-1.297931
{txt}{space 11}mountain_region {c |}{col 28}{res}{space 2}-4.286249{col 40}{space 2} 1.827438{col 51}{space 1}   -2.35{col 60}{space 3}0.019{col 68}{space 4}-7.867962{col 81}{space 3}-.7045352
{txt}{space 15}region_east {c |}{col 28}{res}{space 2} 4.425722{col 40}{space 2} 3.472898{col 51}{space 1}    1.27{col 60}{space 3}0.203{col 68}{space 4}-2.381034{col 81}{space 3} 11.23248
{txt}{space 16}region_mid {c |}{col 28}{res}{space 2}-2.337721{col 40}{space 2} 1.210395{col 51}{space 1}   -1.93{col 60}{space 3}0.053{col 68}{space 4}-4.710053{col 81}{space 3} .0346101
{txt}{space 15}region_west {c |}{col 28}{res}{space 2}-1.313195{col 40}{space 2} .7289686{col 51}{space 1}   -1.80{col 60}{space 3}0.072{col 68}{space 4}-2.741947{col 81}{space 3} .1155574
{txt}{space 12}region_farwest {c |}{col 28}{res}{space 2}  .804333{col 40}{space 2} 1.431712{col 51}{space 1}    0.56{col 60}{space 3}0.574{col 68}{space 4}-2.001771{col 81}{space 3} 3.610437
{txt}{space 26} {c |}
{space 23}sno {c |}
{space 24}2  {c |}{col 28}{res}{space 2}-1.216231{col 40}{space 2}  2.09857{col 51}{space 1}   -0.58{col 60}{space 3}0.562{col 68}{space 4}-5.329353{col 81}{space 3} 2.896891
{txt}{space 24}3  {c |}{col 28}{res}{space 2} -3.06658{col 40}{space 2} 3.222352{col 51}{space 1}   -0.95{col 60}{space 3}0.341{col 68}{space 4}-9.382273{col 81}{space 3} 3.249114
{txt}{space 24}4  {c |}{col 28}{res}{space 2}-3.683415{col 40}{space 2} 3.502315{col 51}{space 1}   -1.05{col 60}{space 3}0.293{col 68}{space 4}-10.54783{col 81}{space 3} 3.180997
{txt}{space 24}5  {c |}{col 28}{res}{space 2}-.7643664{col 40}{space 2}  .586843{col 51}{space 1}   -1.30{col 60}{space 3}0.193{col 68}{space 4}-1.914558{col 81}{space 3} .3858247
{txt}{space 24}6  {c |}{col 28}{res}{space 2} 1.169103{col 40}{space 2} .6291742{col 51}{space 1}    1.86{col 60}{space 3}0.063{col 68}{space 4}-.0640556{col 81}{space 3} 2.402262
{txt}{space 24}7  {c |}{col 28}{res}{space 2}-.4055413{col 40}{space 2} 2.093167{col 51}{space 1}   -0.19{col 60}{space 3}0.846{col 68}{space 4}-4.508074{col 81}{space 3} 3.696991
{txt}{space 24}8  {c |}{col 28}{res}{space 2}-4.744078{col 40}{space 2} 4.165309{col 51}{space 1}   -1.14{col 60}{space 3}0.255{col 68}{space 4}-12.90793{col 81}{space 3} 3.419778
{txt}{space 24}9  {c |}{col 28}{res}{space 2}-6.662578{col 40}{space 2} 5.218413{col 51}{space 1}   -1.28{col 60}{space 3}0.202{col 68}{space 4}-16.89048{col 81}{space 3} 3.565324
{txt}{space 23}10  {c |}{col 28}{res}{space 2}-4.932274{col 40}{space 2} 3.518479{col 51}{space 1}   -1.40{col 60}{space 3}0.161{col 68}{space 4}-11.82837{col 81}{space 3} 1.963818
{txt}{space 23}11  {c |}{col 28}{res}{space 2} -2.32349{col 40}{space 2} 2.038322{col 51}{space 1}   -1.14{col 60}{space 3}0.254{col 68}{space 4}-6.318527{col 81}{space 3} 1.671547
{txt}{space 23}12  {c |}{col 28}{res}{space 2}-1.767574{col 40}{space 2} 1.744897{col 51}{space 1}   -1.01{col 60}{space 3}0.311{col 68}{space 4}-5.187509{col 81}{space 3}  1.65236
{txt}{space 23}13  {c |}{col 28}{res}{space 2}-3.333251{col 40}{space 2} 3.756979{col 51}{space 1}   -0.89{col 60}{space 3}0.375{col 68}{space 4}-10.69679{col 81}{space 3} 4.030292
{txt}{space 23}14  {c |}{col 28}{res}{space 2}-6.651914{col 40}{space 2} 5.270528{col 51}{space 1}   -1.26{col 60}{space 3}0.207{col 68}{space 4}-16.98196{col 81}{space 3} 3.678131
{txt}{space 23}15  {c |}{col 28}{res}{space 2}-5.214588{col 40}{space 2} 4.649175{col 51}{space 1}   -1.12{col 60}{space 3}0.262{col 68}{space 4} -14.3268{col 81}{space 3} 3.897627
{txt}{space 23}16  {c |}{col 28}{res}{space 2}-5.286782{col 40}{space 2} 3.563677{col 51}{space 1}   -1.48{col 60}{space 3}0.138{col 68}{space 4}-12.27146{col 81}{space 3} 1.697897
{txt}{space 23}17  {c |}{col 28}{res}{space 2} 11.52049{col 40}{space 2} 7.118149{col 51}{space 1}    1.62{col 60}{space 3}0.106{col 68}{space 4}-2.430827{col 81}{space 3}  25.4718
{txt}{space 23}18  {c |}{col 28}{res}{space 2} 9.235272{col 40}{space 2} 5.548006{col 51}{space 1}    1.66{col 60}{space 3}0.096{col 68}{space 4}-1.638619{col 81}{space 3} 20.10916
{txt}{space 23}19  {c |}{col 28}{res}{space 2} 9.331508{col 40}{space 2} 4.705956{col 51}{space 1}    1.98{col 60}{space 3}0.047{col 68}{space 4} .1080045{col 81}{space 3} 18.55501
{txt}{space 23}20  {c |}{col 28}{res}{space 2} 2.974161{col 40}{space 2} 1.317467{col 51}{space 1}    2.26{col 60}{space 3}0.024{col 68}{space 4} .3919737{col 81}{space 3} 5.556347
{txt}{space 23}21  {c |}{col 28}{res}{space 2} 1.962388{col 40}{space 2} 1.450109{col 51}{space 1}    1.35{col 60}{space 3}0.176{col 68}{space 4}-.8797736{col 81}{space 3} 4.804549
{txt}{space 23}22  {c |}{col 28}{res}{space 2} 4.118167{col 40}{space 2} 2.408162{col 51}{space 1}    1.71{col 60}{space 3}0.087{col 68}{space 4}-.6017435{col 81}{space 3} 8.838077
{txt}{space 23}23  {c |}{col 28}{res}{space 2} 4.278818{col 40}{space 2} 1.925501{col 51}{space 1}    2.22{col 60}{space 3}0.026{col 68}{space 4} .5049053{col 81}{space 3} 8.052731
{txt}{space 23}24  {c |}{col 28}{res}{space 2} 5.574906{col 40}{space 2} 2.841222{col 51}{space 1}    1.96{col 60}{space 3}0.050{col 68}{space 4} .0062127{col 81}{space 3}  11.1436
{txt}{space 23}25  {c |}{col 28}{res}{space 2} 4.951347{col 40}{space 2} 2.543655{col 51}{space 1}    1.95{col 60}{space 3}0.052{col 68}{space 4}-.0341243{col 81}{space 3} 9.936818
{txt}{space 23}26  {c |}{col 28}{res}{space 2}  7.00692{col 40}{space 2} 4.012238{col 51}{space 1}    1.75{col 60}{space 3}0.081{col 68}{space 4}-.8569221{col 81}{space 3} 14.87076
{txt}{space 23}27  {c |}{col 28}{res}{space 2} 5.312341{col 40}{space 2} 1.384349{col 51}{space 1}    3.84{col 60}{space 3}0.000{col 68}{space 4} 2.599068{col 81}{space 3} 8.025615
{txt}{space 23}28  {c |}{col 28}{res}{space 2} 20.77325{col 40}{space 2} 11.65906{col 51}{space 1}    1.78{col 60}{space 3}0.075{col 68}{space 4}-2.078089{col 81}{space 3} 43.62459
{txt}{space 23}29  {c |}{col 28}{res}{space 2}   35.119{col 40}{space 2} 21.40594{col 51}{space 1}    1.64{col 60}{space 3}0.101{col 68}{space 4}-6.835866{col 81}{space 3} 77.07386
{txt}{space 23}30  {c |}{col 28}{res}{space 2}  45.5367{col 40}{space 2} 28.82438{col 51}{space 1}    1.58{col 60}{space 3}0.114{col 68}{space 4}-10.95805{col 81}{space 3} 102.0315
{txt}{space 23}31  {c |}{col 28}{res}{space 2} 9.606347{col 40}{space 2} 3.363624{col 51}{space 1}    2.86{col 60}{space 3}0.004{col 68}{space 4} 3.013765{col 81}{space 3} 16.19893
{txt}{space 23}32  {c |}{col 28}{res}{space 2} 4.798301{col 40}{space 2} 1.601533{col 51}{space 1}    3.00{col 60}{space 3}0.003{col 68}{space 4} 1.659353{col 81}{space 3} 7.937248
{txt}{space 23}33  {c |}{col 28}{res}{space 2} .7883959{col 40}{space 2} 1.275573{col 51}{space 1}    0.62{col 60}{space 3}0.537{col 68}{space 4}-1.711682{col 81}{space 3} 3.288474
{txt}{space 23}34  {c |}{col 28}{res}{space 2} 6.404599{col 40}{space 2} 2.636431{col 51}{space 1}    2.43{col 60}{space 3}0.015{col 68}{space 4}  1.23729{col 81}{space 3} 11.57191
{txt}{space 23}35  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}36  {c |}{col 28}{res}{space 2} 6.887887{col 40}{space 2} 2.159812{col 51}{space 1}    3.19{col 60}{space 3}0.001{col 68}{space 4} 2.654733{col 81}{space 3} 11.12104
{txt}{space 23}37  {c |}{col 28}{res}{space 2} .4114706{col 40}{space 2} 2.091971{col 51}{space 1}    0.20{col 60}{space 3}0.844{col 68}{space 4}-3.688717{col 81}{space 3} 4.511658
{txt}{space 23}38  {c |}{col 28}{res}{space 2} 1.760363{col 40}{space 2} 1.703855{col 51}{space 1}    1.03{col 60}{space 3}0.302{col 68}{space 4}-1.579132{col 81}{space 3} 5.099858
{txt}{space 23}39  {c |}{col 28}{res}{space 2} 1.741157{col 40}{space 2}  1.91677{col 51}{space 1}    0.91{col 60}{space 3}0.364{col 68}{space 4}-2.015642{col 81}{space 3} 5.497957
{txt}{space 23}40  {c |}{col 28}{res}{space 2} 4.911632{col 40}{space 2} 1.648714{col 51}{space 1}    2.98{col 60}{space 3}0.003{col 68}{space 4} 1.680212{col 81}{space 3} 8.143053
{txt}{space 23}41  {c |}{col 28}{res}{space 2} .6252255{col 40}{space 2} 1.673185{col 51}{space 1}    0.37{col 60}{space 3}0.709{col 68}{space 4}-2.654157{col 81}{space 3} 3.904608
{txt}{space 23}42  {c |}{col 28}{res}{space 2} 1.831114{col 40}{space 2}  1.70034{col 51}{space 1}    1.08{col 60}{space 3}0.282{col 68}{space 4} -1.50149{col 81}{space 3} 5.163719
{txt}{space 23}43  {c |}{col 28}{res}{space 2} 4.813429{col 40}{space 2} 1.726504{col 51}{space 1}    2.79{col 60}{space 3}0.005{col 68}{space 4} 1.429544{col 81}{space 3} 8.197314
{txt}{space 23}44  {c |}{col 28}{res}{space 2}  1.95666{col 40}{space 2} 1.362228{col 51}{space 1}    1.44{col 60}{space 3}0.151{col 68}{space 4}-.7132588{col 81}{space 3} 4.626578
{txt}{space 23}45  {c |}{col 28}{res}{space 2} 4.000279{col 40}{space 2} 1.514227{col 51}{space 1}    2.64{col 60}{space 3}0.008{col 68}{space 4} 1.032449{col 81}{space 3} 6.968108
{txt}{space 23}46  {c |}{col 28}{res}{space 2} 1.914417{col 40}{space 2} 1.638144{col 51}{space 1}    1.17{col 60}{space 3}0.243{col 68}{space 4}-1.296286{col 81}{space 3}  5.12512
{txt}{space 23}47  {c |}{col 28}{res}{space 2}-.0089799{col 40}{space 2} 2.575343{col 51}{space 1}   -0.00{col 60}{space 3}0.997{col 68}{space 4} -5.05656{col 81}{space 3}   5.0386
{txt}{space 23}48  {c |}{col 28}{res}{space 2} 2.224648{col 40}{space 2}  1.45358{col 51}{space 1}    1.53{col 60}{space 3}0.126{col 68}{space 4}-.6243167{col 81}{space 3} 5.073614
{txt}{space 23}49  {c |}{col 28}{res}{space 2}-.6942085{col 40}{space 2} 2.269486{col 51}{space 1}   -0.31{col 60}{space 3}0.760{col 68}{space 4}-5.142319{col 81}{space 3} 3.753902
{txt}{space 23}50  {c |}{col 28}{res}{space 2} .6261076{col 40}{space 2} 1.756807{col 51}{space 1}    0.36{col 60}{space 3}0.722{col 68}{space 4} -2.81717{col 81}{space 3} 4.069385
{txt}{space 23}51  {c |}{col 28}{res}{space 2} 1.706888{col 40}{space 2} 1.851164{col 51}{space 1}    0.92{col 60}{space 3}0.356{col 68}{space 4}-1.921327{col 81}{space 3} 5.335102
{txt}{space 23}52  {c |}{col 28}{res}{space 2}-2.357781{col 40}{space 2} 2.563872{col 51}{space 1}   -0.92{col 60}{space 3}0.358{col 68}{space 4}-7.382877{col 81}{space 3} 2.667315
{txt}{space 23}53  {c |}{col 28}{res}{space 2} 1.171569{col 40}{space 2} .9371784{col 51}{space 1}    1.25{col 60}{space 3}0.211{col 68}{space 4} -.665267{col 81}{space 3} 3.008405
{txt}{space 23}54  {c |}{col 28}{res}{space 2}-2.305549{col 40}{space 2} 2.254081{col 51}{space 1}   -1.02{col 60}{space 3}0.306{col 68}{space 4}-6.723467{col 81}{space 3}  2.11237
{txt}{space 23}55  {c |}{col 28}{res}{space 2} .3368263{col 40}{space 2} 1.433323{col 51}{space 1}    0.23{col 60}{space 3}0.814{col 68}{space 4}-2.472435{col 81}{space 3} 3.146087
{txt}{space 23}56  {c |}{col 28}{res}{space 2}-.3213316{col 40}{space 2} 1.516259{col 51}{space 1}   -0.21{col 60}{space 3}0.832{col 68}{space 4}-3.293144{col 81}{space 3} 2.650481
{txt}{space 23}57  {c |}{col 28}{res}{space 2} 2.815779{col 40}{space 2} 1.555493{col 51}{space 1}    1.81{col 60}{space 3}0.070{col 68}{space 4}-.2329307{col 81}{space 3} 5.864488
{txt}{space 23}58  {c |}{col 28}{res}{space 2}-2.226004{col 40}{space 2}  1.81475{col 51}{space 1}   -1.23{col 60}{space 3}0.220{col 68}{space 4}-5.782849{col 81}{space 3} 1.330841
{txt}{space 23}59  {c |}{col 28}{res}{space 2}-.3971629{col 40}{space 2} 1.618911{col 51}{space 1}   -0.25{col 60}{space 3}0.806{col 68}{space 4} -3.57017{col 81}{space 3} 2.775844
{txt}{space 23}60  {c |}{col 28}{res}{space 2} 1.523055{col 40}{space 2} .6288387{col 51}{space 1}    2.42{col 60}{space 3}0.015{col 68}{space 4} .2905533{col 81}{space 3} 2.755556
{txt}{space 23}61  {c |}{col 28}{res}{space 2}-.5008762{col 40}{space 2} .7913231{col 51}{space 1}   -0.63{col 60}{space 3}0.527{col 68}{space 4}-2.051841{col 81}{space 3} 1.050089
{txt}{space 23}62  {c |}{col 28}{res}{space 2}-1.589411{col 40}{space 2} 1.777598{col 51}{space 1}   -0.89{col 60}{space 3}0.371{col 68}{space 4}-5.073439{col 81}{space 3} 1.894618
{txt}{space 23}63  {c |}{col 28}{res}{space 2}  .326555{col 40}{space 2} .7134626{col 51}{space 1}    0.46{col 60}{space 3}0.647{col 68}{space 4}-1.071806{col 81}{space 3} 1.724916
{txt}{space 23}64  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}65  {c |}{col 28}{res}{space 2}-1.064776{col 40}{space 2} .7130158{col 51}{space 1}   -1.49{col 60}{space 3}0.135{col 68}{space 4}-2.462261{col 81}{space 3} .3327094
{txt}{space 23}66  {c |}{col 28}{res}{space 2}-3.875514{col 40}{space 2} 1.497814{col 51}{space 1}   -2.59{col 60}{space 3}0.010{col 68}{space 4}-6.811177{col 81}{space 3}-.9398519
{txt}{space 23}67  {c |}{col 28}{res}{space 2}  -1.2922{col 40}{space 2} .9664326{col 51}{space 1}   -1.34{col 60}{space 3}0.181{col 68}{space 4}-3.186373{col 81}{space 3} .6019727
{txt}{space 23}68  {c |}{col 28}{res}{space 2}-2.333317{col 40}{space 2} .6813906{col 51}{space 1}   -3.42{col 60}{space 3}0.001{col 68}{space 4}-3.668818{col 81}{space 3}-.9978161
{txt}{space 23}69  {c |}{col 28}{res}{space 2}-1.154468{col 40}{space 2} .8305151{col 51}{space 1}   -1.39{col 60}{space 3}0.165{col 68}{space 4}-2.782247{col 81}{space 3} .4733121
{txt}{space 23}70  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}71  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}72  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}73  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}74  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}75  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2}-1.088839{col 40}{space 2} 3.057806{col 51}{space 1}   -0.36{col 60}{space 3}0.722{col 68}{space 4}-7.082029{col 81}{space 3} 4.904352
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 21}/ln_r {c |}{col 28}{res}{space 2} .2015496{col 40}{space 2} .2164264{col 68}{space 4}-.2226383{col 81}{space 3} .6257375
{txt}{space 21}/ln_s {c |}{col 28}{res}{space 2} 3.087812{col 40}{space 2} .3199624{col 68}{space 4} 2.460697{col 81}{space 3} 3.714926
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                         r {c |}{col 28}{res}{space 2} 1.223297{col 40}{space 2} .2647537{col 68}{space 4} .8004043{col 81}{space 3} 1.869624
{txt}                         s {c |}{col 28}{res}{space 2} 21.92904{col 40}{space 2} 7.016467{col 68}{space 4} 11.71297{col 81}{space 3} 41.05557
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{txt}LR test vs. pooled: {help j_chibar##|_new:chibar2(01) = }{res}0.00{col 56}{txt}Prob >= chibar2 = {res}1.000
{txt}
{com}. 
. xtnbreg total_court_cases lag_total_cases ln_cum_maoist_victims peoples_govt_active ln_abs_total2001 percent_votes1991_1999_GAP ///
> litrate_1991_2001_GAP road_density_GAP year2002 hilli_region mountain_region region_east region_mid region_west region_farwest i.sno if year>1995 & year<2007 
{txt}note: 35.sno omitted because of collinearity
note: 64.sno omitted because of collinearity
note: 70.sno omitted because of collinearity
note: 71.sno omitted because of collinearity
note: 72.sno omitted because of collinearity
note: 73.sno omitted because of collinearity
note: 74.sno omitted because of collinearity
note: 75.sno omitted because of collinearity

Fitting negative binomial (constant dispersion) model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-2402920.3}  
Iteration 1:{space 3}log likelihood = {res:-963423.83}  
Iteration 2:{space 3}log likelihood = {res:-350301.65}  
Iteration 3:{space 3}log likelihood = {res:-37437.782}  
Iteration 4:{space 3}log likelihood = {res:-21133.001}  
Iteration 5:{space 3}log likelihood = {res:-20907.281}  
Iteration 6:{space 3}log likelihood = {res:-20907.235}  
Iteration 7:{space 3}log likelihood = {res:-20907.235}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-299668.31}  
Iteration 1:{space 3}log likelihood = {res:-17080.989}  
Iteration 2:{space 3}log likelihood = {res:-7903.8285}  (backed up)
Iteration 3:{space 3}log likelihood = {res:-6575.5695}  
Iteration 4:{space 3}log likelihood = {res:-6486.5743}  
Iteration 5:{space 3}log likelihood = {res:-6478.1043}  
Iteration 6:{space 3}log likelihood = {res:-6478.0828}  
Iteration 7:{space 3}log likelihood = {res:-6478.0828}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-6478.0828}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-6341.9131}  (not concave)
Iteration 2:{space 3}log likelihood = {res:-6133.8167}  (not concave)
Iteration 3:{space 3}log likelihood = {res:-5733.7092}  
Iteration 4:{space 3}log likelihood = {res:-5371.0333}  (backed up)
Iteration 5:{space 3}log likelihood = {res:-5195.8892}  
Iteration 6:{space 3}log likelihood = {res:-5172.4182}  
Iteration 7:{space 3}log likelihood = {res: -5171.699}  
Iteration 8:{space 3}log likelihood = {res:-5171.6932}  
Iteration 9:{space 3}log likelihood = {res:-5171.6932}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-12790.536}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-6737.8148}  (not concave)
Iteration 2:{space 3}log likelihood = {res:-5703.6733}  (not concave)
Iteration 3:{space 3}log likelihood = {res:  -5407.69}  
Iteration 4:{space 3}log likelihood = {res:-5312.1305}  
Iteration 5:{space 3}log likelihood = {res: -5302.629}  (not concave)
Iteration 6:{space 3}log likelihood = {res: -5259.227}  (not concave)
Iteration 7:{space 3}log likelihood = {res:-5237.1996}  (not concave)
Iteration 8:{space 3}log likelihood = {res:-5216.6628}  
Iteration 9:{space 3}log likelihood = {res:-5206.9043}  
Iteration 10:{space 2}log likelihood = {res:-5206.5798}  
Iteration 11:{space 2}log likelihood = {res:-5206.5795}  
{res}
{txt}Random-effects negative binomial regression{col 49}Number of obs{col 67}={col 69}{res}       825
{txt}Group variable: {res}sno{col 49}{txt}Number of groups{col 67}={col 69}{res}        75

{txt}Random effects u_i ~ {res}Beta{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        11
{txt}{col 63}avg{col 67}={col 69}{res}      11.0
{txt}{col 63}max{col 67}={col 69}{res}        11

{txt}{col 49}Wald chi2({res}80{txt}){col 67}={col 70}{res}  2108.14
{txt}Log likelihood  = {res}-5206.5795{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         total_court_cases{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}lag_total_cases {c |}{col 28}{res}{space 2} .0001006{col 40}{space 2} .0000258{col 51}{space 1}    3.90{col 60}{space 3}0.000{col 68}{space 4} .0000501{col 81}{space 3}  .000151
{txt}{space 5}ln_cum_maoist_victims {c |}{col 28}{res}{space 2}-.0817155{col 40}{space 2} .0119554{col 51}{space 1}   -6.84{col 60}{space 3}0.000{col 68}{space 4}-.1051478{col 81}{space 3}-.0582833
{txt}{space 7}peoples_govt_active {c |}{col 28}{res}{space 2}-.1971694{col 40}{space 2} .0346595{col 51}{space 1}   -5.69{col 60}{space 3}0.000{col 68}{space 4}-.2651008{col 81}{space 3}-.1292379
{txt}{space 10}ln_abs_total2001 {c |}{col 28}{res}{space 2} .5440384{col 40}{space 2} .4297871{col 51}{space 1}    1.27{col 60}{space 3}0.206{col 68}{space 4}-.2983289{col 81}{space 3} 1.386406
{txt}percent_votes1991_1999_GAP {c |}{col 28}{res}{space 2} .0000959{col 40}{space 2} .0049084{col 51}{space 1}    0.02{col 60}{space 3}0.984{col 68}{space 4}-.0095244{col 81}{space 3} .0097161
{txt}{space 5}litrate_1991_2001_GAP {c |}{col 28}{res}{space 2} .0089524{col 40}{space 2} .0035601{col 51}{space 1}    2.51{col 60}{space 3}0.012{col 68}{space 4} .0019747{col 81}{space 3} .0159302
{txt}{space 10}road_density_GAP {c |}{col 28}{res}{space 2} -28.2299{col 40}{space 2} 14.91694{col 51}{space 1}   -1.89{col 60}{space 3}0.058{col 68}{space 4}-57.46656{col 81}{space 3} 1.006768
{txt}{space 18}year2002 {c |}{col 28}{res}{space 2} .0111848{col 40}{space 2} .0378072{col 51}{space 1}    0.30{col 60}{space 3}0.767{col 68}{space 4} -.062916{col 81}{space 3} .0852856
{txt}{space 14}hilli_region {c |}{col 28}{res}{space 2}-2.648686{col 40}{space 2} .5679678{col 51}{space 1}   -4.66{col 60}{space 3}0.000{col 68}{space 4}-3.761882{col 81}{space 3}-1.535489
{txt}{space 11}mountain_region {c |}{col 28}{res}{space 2}-5.122069{col 40}{space 2} 1.857929{col 51}{space 1}   -2.76{col 60}{space 3}0.006{col 68}{space 4}-8.763543{col 81}{space 3}-1.480594
{txt}{space 15}region_east {c |}{col 28}{res}{space 2} 5.165386{col 40}{space 2} 3.489556{col 51}{space 1}    1.48{col 60}{space 3}0.139{col 68}{space 4}-1.674019{col 81}{space 3} 12.00479
{txt}{space 16}region_mid {c |}{col 28}{res}{space 2}-2.975879{col 40}{space 2} 1.215893{col 51}{space 1}   -2.45{col 60}{space 3}0.014{col 68}{space 4}-5.358985{col 81}{space 3}-.5927728
{txt}{space 15}region_west {c |}{col 28}{res}{space 2}-1.575758{col 40}{space 2}  .744069{col 51}{space 1}   -2.12{col 60}{space 3}0.034{col 68}{space 4}-3.034106{col 81}{space 3}-.1174091
{txt}{space 12}region_farwest {c |}{col 28}{res}{space 2} .4041928{col 40}{space 2}  1.45443{col 51}{space 1}    0.28{col 60}{space 3}0.781{col 68}{space 4}-2.446437{col 81}{space 3} 3.254823
{txt}{space 26} {c |}
{space 23}sno {c |}
{space 24}2  {c |}{col 28}{res}{space 2}-1.678503{col 40}{space 2} 2.112622{col 51}{space 1}   -0.79{col 60}{space 3}0.427{col 68}{space 4}-5.819166{col 81}{space 3}  2.46216
{txt}{space 24}3  {c |}{col 28}{res}{space 2}-4.267817{col 40}{space 2} 3.249502{col 51}{space 1}   -1.31{col 60}{space 3}0.189{col 68}{space 4}-10.63672{col 81}{space 3}  2.10109
{txt}{space 24}4  {c |}{col 28}{res}{space 2}-4.907612{col 40}{space 2}  3.52652{col 51}{space 1}   -1.39{col 60}{space 3}0.164{col 68}{space 4}-11.81946{col 81}{space 3} 2.004241
{txt}{space 24}5  {c |}{col 28}{res}{space 2}-.6023549{col 40}{space 2} .5953448{col 51}{space 1}   -1.01{col 60}{space 3}0.312{col 68}{space 4}-1.769209{col 81}{space 3} .5644996
{txt}{space 24}6  {c |}{col 28}{res}{space 2} 1.285753{col 40}{space 2} .6394595{col 51}{space 1}    2.01{col 60}{space 3}0.044{col 68}{space 4} .0324354{col 81}{space 3}  2.53907
{txt}{space 24}7  {c |}{col 28}{res}{space 2}-.9082853{col 40}{space 2} 2.103769{col 51}{space 1}   -0.43{col 60}{space 3}0.666{col 68}{space 4}-5.031597{col 81}{space 3} 3.215027
{txt}{space 24}8  {c |}{col 28}{res}{space 2}-6.190547{col 40}{space 2} 4.200848{col 51}{space 1}   -1.47{col 60}{space 3}0.141{col 68}{space 4}-14.42406{col 81}{space 3} 2.042965
{txt}{space 24}9  {c |}{col 28}{res}{space 2}-8.594173{col 40}{space 2} 5.267847{col 51}{space 1}   -1.63{col 60}{space 3}0.103{col 68}{space 4}-18.91896{col 81}{space 3} 1.730618
{txt}{space 23}10  {c |}{col 28}{res}{space 2}-6.181233{col 40}{space 2} 3.543042{col 51}{space 1}   -1.74{col 60}{space 3}0.081{col 68}{space 4}-13.12547{col 81}{space 3} .7630017
{txt}{space 23}11  {c |}{col 28}{res}{space 2} -3.09273{col 40}{space 2} 2.054746{col 51}{space 1}   -1.51{col 60}{space 3}0.132{col 68}{space 4}-7.119958{col 81}{space 3} .9344984
{txt}{space 23}12  {c |}{col 28}{res}{space 2}-2.200771{col 40}{space 2} 1.759492{col 51}{space 1}   -1.25{col 60}{space 3}0.211{col 68}{space 4}-5.649311{col 81}{space 3}  1.24777
{txt}{space 23}13  {c |}{col 28}{res}{space 2}-4.425162{col 40}{space 2} 3.786006{col 51}{space 1}   -1.17{col 60}{space 3}0.242{col 68}{space 4} -11.8456{col 81}{space 3} 2.995273
{txt}{space 23}14  {c |}{col 28}{res}{space 2}-8.628387{col 40}{space 2} 5.320452{col 51}{space 1}   -1.62{col 60}{space 3}0.105{col 68}{space 4}-19.05628{col 81}{space 3} 1.799506
{txt}{space 23}15  {c |}{col 28}{res}{space 2} -6.87953{col 40}{space 2} 4.691164{col 51}{space 1}   -1.47{col 60}{space 3}0.143{col 68}{space 4}-16.07404{col 81}{space 3} 2.314984
{txt}{space 23}16  {c |}{col 28}{res}{space 2}-6.391859{col 40}{space 2} 3.585236{col 51}{space 1}   -1.78{col 60}{space 3}0.075{col 68}{space 4}-13.41879{col 81}{space 3} .6350754
{txt}{space 23}17  {c |}{col 28}{res}{space 2} 14.32532{col 40}{space 2} 7.192595{col 51}{space 1}    1.99{col 60}{space 3}0.046{col 68}{space 4} .2280929{col 81}{space 3} 28.42255
{txt}{space 23}18  {c |}{col 28}{res}{space 2} 11.15775{col 40}{space 2} 5.597906{col 51}{space 1}    1.99{col 60}{space 3}0.046{col 68}{space 4} .1860603{col 81}{space 3} 22.12945
{txt}{space 23}19  {c |}{col 28}{res}{space 2} 10.51257{col 40}{space 2} 4.746959{col 51}{space 1}    2.21{col 60}{space 3}0.027{col 68}{space 4} 1.208703{col 81}{space 3} 19.81644
{txt}{space 23}20  {c |}{col 28}{res}{space 2} 2.795018{col 40}{space 2} 1.328776{col 51}{space 1}    2.10{col 60}{space 3}0.035{col 68}{space 4} .1906644{col 81}{space 3} 5.399372
{txt}{space 23}21  {c |}{col 28}{res}{space 2}  1.76806{col 40}{space 2} 1.460875{col 51}{space 1}    1.21{col 60}{space 3}0.226{col 68}{space 4}-1.095202{col 81}{space 3} 4.631322
{txt}{space 23}22  {c |}{col 28}{res}{space 2} 5.070798{col 40}{space 2} 2.428681{col 51}{space 1}    2.09{col 60}{space 3}0.037{col 68}{space 4} .3106699{col 81}{space 3} 9.830925
{txt}{space 23}23  {c |}{col 28}{res}{space 2} 4.492472{col 40}{space 2} 1.935299{col 51}{space 1}    2.32{col 60}{space 3}0.020{col 68}{space 4} .6993554{col 81}{space 3} 8.285589
{txt}{space 23}24  {c |}{col 28}{res}{space 2} 6.464219{col 40}{space 2} 2.864834{col 51}{space 1}    2.26{col 60}{space 3}0.024{col 68}{space 4} .8492479{col 81}{space 3} 12.07919
{txt}{space 23}25  {c |}{col 28}{res}{space 2} 5.420912{col 40}{space 2}   2.5588{col 51}{space 1}    2.12{col 60}{space 3}0.034{col 68}{space 4} .4057566{col 81}{space 3} 10.43607
{txt}{space 23}26  {c |}{col 28}{res}{space 2} 8.418406{col 40}{space 2} 4.048185{col 51}{space 1}    2.08{col 60}{space 3}0.038{col 68}{space 4} .4841097{col 81}{space 3}  16.3527
{txt}{space 23}27  {c |}{col 28}{res}{space 2}  5.78437{col 40}{space 2} 1.393041{col 51}{space 1}    4.15{col 60}{space 3}0.000{col 68}{space 4}  3.05406{col 81}{space 3}  8.51468
{txt}{space 23}28  {c |}{col 28}{res}{space 2} 25.40832{col 40}{space 2} 11.78546{col 51}{space 1}    2.16{col 60}{space 3}0.031{col 68}{space 4} 2.309239{col 81}{space 3}  48.5074
{txt}{space 23}29  {c |}{col 28}{res}{space 2} 44.32315{col 40}{space 2} 21.65818{col 51}{space 1}    2.05{col 60}{space 3}0.041{col 68}{space 4} 1.873902{col 81}{space 3} 86.77241
{txt}{space 23}30  {c |}{col 28}{res}{space 2} 57.37135{col 40}{space 2} 29.15595{col 51}{space 1}    1.97{col 60}{space 3}0.049{col 68}{space 4} .2267332{col 81}{space 3}  114.516
{txt}{space 23}31  {c |}{col 28}{res}{space 2} 11.19859{col 40}{space 2} 3.405107{col 51}{space 1}    3.29{col 60}{space 3}0.001{col 68}{space 4} 4.524707{col 81}{space 3} 17.87248
{txt}{space 23}32  {c |}{col 28}{res}{space 2}  5.26478{col 40}{space 2} 1.623954{col 51}{space 1}    3.24{col 60}{space 3}0.001{col 68}{space 4} 2.081889{col 81}{space 3} 8.447672
{txt}{space 23}33  {c |}{col 28}{res}{space 2} .7112653{col 40}{space 2} 1.292811{col 51}{space 1}    0.55{col 60}{space 3}0.582{col 68}{space 4}-1.822598{col 81}{space 3} 3.245128
{txt}{space 23}34  {c |}{col 28}{res}{space 2} 7.244061{col 40}{space 2} 2.657612{col 51}{space 1}    2.73{col 60}{space 3}0.006{col 68}{space 4} 2.035237{col 81}{space 3} 12.45288
{txt}{space 23}35  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}36  {c |}{col 28}{res}{space 2} 7.290419{col 40}{space 2} 2.166749{col 51}{space 1}    3.36{col 60}{space 3}0.001{col 68}{space 4} 3.043668{col 81}{space 3} 11.53717
{txt}{space 23}37  {c |}{col 28}{res}{space 2}-.5044261{col 40}{space 2} 2.120717{col 51}{space 1}   -0.24{col 60}{space 3}0.812{col 68}{space 4}-4.660954{col 81}{space 3} 3.652102
{txt}{space 23}38  {c |}{col 28}{res}{space 2} .9386191{col 40}{space 2} 1.725454{col 51}{space 1}    0.54{col 60}{space 3}0.586{col 68}{space 4}-2.443209{col 81}{space 3} 4.320448
{txt}{space 23}39  {c |}{col 28}{res}{space 2} 1.335286{col 40}{space 2} 1.938748{col 51}{space 1}    0.69{col 60}{space 3}0.491{col 68}{space 4}-2.464591{col 81}{space 3} 5.135162
{txt}{space 23}40  {c |}{col 28}{res}{space 2} 5.051398{col 40}{space 2} 1.645452{col 51}{space 1}    3.07{col 60}{space 3}0.002{col 68}{space 4} 1.826372{col 81}{space 3} 8.276424
{txt}{space 23}41  {c |}{col 28}{res}{space 2}-.2213007{col 40}{space 2} 1.690191{col 51}{space 1}   -0.13{col 60}{space 3}0.896{col 68}{space 4}-3.534013{col 81}{space 3} 3.091412
{txt}{space 23}42  {c |}{col 28}{res}{space 2} 2.421599{col 40}{space 2}  1.69816{col 51}{space 1}    1.43{col 60}{space 3}0.154{col 68}{space 4}-.9067336{col 81}{space 3} 5.749931
{txt}{space 23}43  {c |}{col 28}{res}{space 2} 4.877101{col 40}{space 2} 1.722927{col 51}{space 1}    2.83{col 60}{space 3}0.005{col 68}{space 4} 1.500227{col 81}{space 3} 8.253976
{txt}{space 23}44  {c |}{col 28}{res}{space 2} 2.117864{col 40}{space 2} 1.364837{col 51}{space 1}    1.55{col 60}{space 3}0.121{col 68}{space 4}-.5571665{col 81}{space 3} 4.792895
{txt}{space 23}45  {c |}{col 28}{res}{space 2} 4.136593{col 40}{space 2}  1.52155{col 51}{space 1}    2.72{col 60}{space 3}0.007{col 68}{space 4} 1.154411{col 81}{space 3} 7.118776
{txt}{space 23}46  {c |}{col 28}{res}{space 2}  1.87378{col 40}{space 2} 1.645507{col 51}{space 1}    1.14{col 60}{space 3}0.255{col 68}{space 4}-1.351354{col 81}{space 3} 5.098914
{txt}{space 23}47  {c |}{col 28}{res}{space 2}-1.036693{col 40}{space 2} 2.611848{col 51}{space 1}   -0.40{col 60}{space 3}0.691{col 68}{space 4}-6.155821{col 81}{space 3} 4.082435
{txt}{space 23}48  {c |}{col 28}{res}{space 2} 1.929272{col 40}{space 2} 1.463655{col 51}{space 1}    1.32{col 60}{space 3}0.187{col 68}{space 4}-.9394393{col 81}{space 3} 4.797984
{txt}{space 23}49  {c |}{col 28}{res}{space 2}-1.632072{col 40}{space 2} 2.299478{col 51}{space 1}   -0.71{col 60}{space 3}0.478{col 68}{space 4}-6.138966{col 81}{space 3} 2.874822
{txt}{space 23}50  {c |}{col 28}{res}{space 2} .1689524{col 40}{space 2} 1.777277{col 51}{space 1}    0.10{col 60}{space 3}0.924{col 68}{space 4}-3.314447{col 81}{space 3} 3.652352
{txt}{space 23}51  {c |}{col 28}{res}{space 2}  1.15785{col 40}{space 2} 1.879031{col 51}{space 1}    0.62{col 60}{space 3}0.538{col 68}{space 4}-2.524983{col 81}{space 3} 4.840682
{txt}{space 23}52  {c |}{col 28}{res}{space 2}-3.563794{col 40}{space 2} 2.617429{col 51}{space 1}   -1.36{col 60}{space 3}0.173{col 68}{space 4} -8.69386{col 81}{space 3} 1.566273
{txt}{space 23}53  {c |}{col 28}{res}{space 2} .9920524{col 40}{space 2} .9446397{col 51}{space 1}    1.05{col 60}{space 3}0.294{col 68}{space 4}-.8594074{col 81}{space 3} 2.843512
{txt}{space 23}54  {c |}{col 28}{res}{space 2}-3.397641{col 40}{space 2} 2.293828{col 51}{space 1}   -1.48{col 60}{space 3}0.139{col 68}{space 4}-7.893462{col 81}{space 3}  1.09818
{txt}{space 23}55  {c |}{col 28}{res}{space 2}  .017691{col 40}{space 2} 1.447536{col 51}{space 1}    0.01{col 60}{space 3}0.990{col 68}{space 4}-2.819428{col 81}{space 3}  2.85481
{txt}{space 23}56  {c |}{col 28}{res}{space 2}-.7014315{col 40}{space 2} 1.532693{col 51}{space 1}   -0.46{col 60}{space 3}0.647{col 68}{space 4}-3.705455{col 81}{space 3} 2.302592
{txt}{space 23}57  {c |}{col 28}{res}{space 2} 2.310117{col 40}{space 2} 1.570069{col 51}{space 1}    1.47{col 60}{space 3}0.141{col 68}{space 4} -.767162{col 81}{space 3} 5.387396
{txt}{space 23}58  {c |}{col 28}{res}{space 2}-2.961771{col 40}{space 2} 1.838189{col 51}{space 1}   -1.61{col 60}{space 3}0.107{col 68}{space 4}-6.564555{col 81}{space 3} .6410125
{txt}{space 23}59  {c |}{col 28}{res}{space 2}-.7788645{col 40}{space 2} 1.642336{col 51}{space 1}   -0.47{col 60}{space 3}0.635{col 68}{space 4}-3.997785{col 81}{space 3} 2.440056
{txt}{space 23}60  {c |}{col 28}{res}{space 2} 1.483621{col 40}{space 2} .6272626{col 51}{space 1}    2.37{col 60}{space 3}0.018{col 68}{space 4} .2542087{col 81}{space 3} 2.713033
{txt}{space 23}61  {c |}{col 28}{res}{space 2}  -.72579{col 40}{space 2} .8010202{col 51}{space 1}   -0.91{col 60}{space 3}0.365{col 68}{space 4}-2.295761{col 81}{space 3} .8441808
{txt}{space 23}62  {c |}{col 28}{res}{space 2}-2.346328{col 40}{space 2} 1.800207{col 51}{space 1}   -1.30{col 60}{space 3}0.192{col 68}{space 4}-5.874668{col 81}{space 3} 1.182012
{txt}{space 23}63  {c |}{col 28}{res}{space 2}-.0184096{col 40}{space 2}  .718332{col 51}{space 1}   -0.03{col 60}{space 3}0.980{col 68}{space 4}-1.426314{col 81}{space 3} 1.389495
{txt}{space 23}64  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}65  {c |}{col 28}{res}{space 2}-1.347277{col 40}{space 2} .7152349{col 51}{space 1}   -1.88{col 60}{space 3}0.060{col 68}{space 4}-2.749111{col 81}{space 3}  .054558
{txt}{space 23}66  {c |}{col 28}{res}{space 2}-4.294093{col 40}{space 2} 1.519424{col 51}{space 1}   -2.83{col 60}{space 3}0.005{col 68}{space 4}-7.272109{col 81}{space 3}-1.316077
{txt}{space 23}67  {c |}{col 28}{res}{space 2}-1.531893{col 40}{space 2} .9791532{col 51}{space 1}   -1.56{col 60}{space 3}0.118{col 68}{space 4}-3.450998{col 81}{space 3} .3872116
{txt}{space 23}68  {c |}{col 28}{res}{space 2}-2.423085{col 40}{space 2} .6815378{col 51}{space 1}   -3.56{col 60}{space 3}0.000{col 68}{space 4}-3.758874{col 81}{space 3}-1.087295
{txt}{space 23}69  {c |}{col 28}{res}{space 2}-1.367987{col 40}{space 2} .8361452{col 51}{space 1}   -1.64{col 60}{space 3}0.102{col 68}{space 4}-3.006802{col 81}{space 3}  .270827
{txt}{space 23}70  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}71  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}72  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}73  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}74  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}75  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2}-1.932423{col 40}{space 2} 3.096562{col 51}{space 1}   -0.62{col 60}{space 3}0.533{col 68}{space 4}-8.001573{col 81}{space 3} 4.136728
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 21}/ln_r {c |}{col 28}{res}{space 2} .1870101{col 40}{space 2} .2194716{col 68}{space 4}-.2431463{col 81}{space 3} .6171665
{txt}{space 21}/ln_s {c |}{col 28}{res}{space 2} 3.114859{col 40}{space 2} .3271492{col 68}{space 4} 2.473658{col 81}{space 3} 3.756059
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                         r {c |}{col 28}{res}{space 2} 1.205639{col 40}{space 2} .2646036{col 68}{space 4} .7841568{col 81}{space 3} 1.853668
{txt}                         s {c |}{col 28}{res}{space 2} 22.53024{col 40}{space 2} 7.370751{col 68}{space 4} 11.86577{col 81}{space 3} 42.77951
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{txt}LR test vs. pooled: {help j_chibar##|_new:chibar2(01) = }{res}0.00{col 56}{txt}Prob >= chibar2 = {res}1.000
{txt}
{com}. 
. 
. 
. //Appendix Table 4c. NGOs/CSOs (log)
. //Civil cases
. xtnbreg total_civil_cases lag_civil_cases  ln_cum_state_victims peoples_govt_active ln_pop percent_votes1991_1999_GAP   ln_newNGOs      ///
> litrate_1991_2001_GAP road_density_GAP year2002  hilli_region mountain_region region_east region_mid region_west region_farwest i.sno if year>1995 & year<2007 
{txt}note: 35.sno omitted because of collinearity
note: 64.sno omitted because of collinearity
note: 70.sno omitted because of collinearity
note: 71.sno omitted because of collinearity
note: 72.sno omitted because of collinearity
note: 73.sno omitted because of collinearity
note: 75.sno omitted because of collinearity

Fitting negative binomial (constant dispersion) model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:  -1204495}  
Iteration 1:{space 3}log likelihood = {res:-432998.41}  
Iteration 2:{space 3}log likelihood = {res:-223805.44}  
Iteration 3:{space 3}log likelihood = {res:-18792.755}  
Iteration 4:{space 3}log likelihood = {res:-14648.986}  
Iteration 5:{space 3}log likelihood = {res:-14639.546}  
Iteration 6:{space 3}log likelihood = {res:-14639.545}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-220243.62}  
Iteration 1:{space 3}log likelihood = {res:-18470.292}  
Iteration 2:{space 3}log likelihood = {res:-7456.0091}  (backed up)
Iteration 3:{space 3}log likelihood = {res:-6120.0465}  
Iteration 4:{space 3}log likelihood = {res:-6050.9396}  
Iteration 5:{space 3}log likelihood = {res:-6046.5021}  
Iteration 6:{space 3}log likelihood = {res:-6046.4926}  
Iteration 7:{space 3}log likelihood = {res:-6046.4926}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-6046.4926}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-5875.5023}  (not concave)
Iteration 2:{space 3}log likelihood = {res:-5681.1555}  (not concave)
Iteration 3:{space 3}log likelihood = {res:-5292.4868}  (not concave)
Iteration 4:{space 3}log likelihood = {res:-5101.0228}  
Iteration 5:{space 3}log likelihood = {res:-4950.2722}  
Iteration 6:{space 3}log likelihood = {res:-4774.0482}  
Iteration 7:{space 3}log likelihood = {res:-4725.3821}  
Iteration 8:{space 3}log likelihood = {res:-4724.6469}  
Iteration 9:{space 3}log likelihood = {res:-4724.6462}  
Iteration 10:{space 2}log likelihood = {res:-4724.6462}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-9380.1147}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-5704.7947}  (not concave)
Iteration 2:{space 3}log likelihood = {res:-5116.9544}  (not concave)
Iteration 3:{space 3}log likelihood = {res:-4885.4092}  (not concave)
Iteration 4:{space 3}log likelihood = {res:-4834.4448}  (not concave)
Iteration 5:{space 3}log likelihood = {res:-4809.3152}  
Iteration 6:{space 3}log likelihood = {res:-4798.7135}  
Iteration 7:{space 3}log likelihood = {res:-4754.8229}  
Iteration 8:{space 3}log likelihood = {res: -4744.338}  
Iteration 9:{space 3}log likelihood = {res:-4743.5301}  
Iteration 10:{space 2}log likelihood = {res:-4743.4987}  
Iteration 11:{space 2}log likelihood = {res:-4743.4985}  
{res}
{txt}Random-effects negative binomial regression{col 49}Number of obs{col 67}={col 69}{res}       825
{txt}Group variable: {res}sno{col 49}{txt}Number of groups{col 67}={col 69}{res}        75

{txt}Random effects u_i ~ {res}Beta{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        11
{txt}{col 63}avg{col 67}={col 69}{res}      11.0
{txt}{col 63}max{col 67}={col 69}{res}        11

{txt}{col 49}Wald chi2({res}82{txt}){col 67}={col 70}{res}  2014.36
{txt}Log likelihood  = {res}-4743.4985{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         total_civil_cases{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}lag_civil_cases {c |}{col 28}{res}{space 2}  .000109{col 40}{space 2} .0000305{col 51}{space 1}    3.57{col 60}{space 3}0.000{col 68}{space 4} .0000491{col 81}{space 3} .0001688
{txt}{space 6}ln_cum_state_victims {c |}{col 28}{res}{space 2}-.0977874{col 40}{space 2} .0123995{col 51}{space 1}   -7.89{col 60}{space 3}0.000{col 68}{space 4}  -.12209{col 81}{space 3}-.0734849
{txt}{space 7}peoples_govt_active {c |}{col 28}{res}{space 2}-.2720751{col 40}{space 2} .0315499{col 51}{space 1}   -8.62{col 60}{space 3}0.000{col 68}{space 4}-.3339119{col 81}{space 3}-.2102383
{txt}{space 20}ln_pop {c |}{col 28}{res}{space 2} .5784802{col 40}{space 2} .1720253{col 51}{space 1}    3.36{col 60}{space 3}0.001{col 68}{space 4} .2413167{col 81}{space 3} .9156436
{txt}percent_votes1991_1999_GAP {c |}{col 28}{res}{space 2} .0067978{col 40}{space 2} .0048494{col 51}{space 1}    1.40{col 60}{space 3}0.161{col 68}{space 4}-.0027069{col 81}{space 3} .0163024
{txt}{space 16}ln_newNGOs {c |}{col 28}{res}{space 2} .0122946{col 40}{space 2} .0221886{col 51}{space 1}    0.55{col 60}{space 3}0.580{col 68}{space 4}-.0311942{col 81}{space 3} .0557834
{txt}{space 5}litrate_1991_2001_GAP {c |}{col 28}{res}{space 2} .0003591{col 40}{space 2} .0036088{col 51}{space 1}    0.10{col 60}{space 3}0.921{col 68}{space 4}-.0067139{col 81}{space 3} .0074322
{txt}{space 10}road_density_GAP {c |}{col 28}{res}{space 2}-18.91047{col 40}{space 2} 13.05486{col 51}{space 1}   -1.45{col 60}{space 3}0.147{col 68}{space 4}-44.49752{col 81}{space 3} 6.676582
{txt}{space 18}year2002 {c |}{col 28}{res}{space 2} .1497436{col 40}{space 2} .0367869{col 51}{space 1}    4.07{col 60}{space 3}0.000{col 68}{space 4} .0776426{col 81}{space 3} .2218446
{txt}{space 14}hilli_region {c |}{col 28}{res}{space 2} -2.39316{col 40}{space 2} .5403624{col 51}{space 1}   -4.43{col 60}{space 3}0.000{col 68}{space 4} -3.45225{col 81}{space 3}-1.334069
{txt}{space 11}mountain_region {c |}{col 28}{res}{space 2}-3.799447{col 40}{space 2} 1.685845{col 51}{space 1}   -2.25{col 60}{space 3}0.024{col 68}{space 4}-7.103641{col 81}{space 3}-.4952519
{txt}{space 15}region_east {c |}{col 28}{res}{space 2} 5.254886{col 40}{space 2} 3.299327{col 51}{space 1}    1.59{col 60}{space 3}0.111{col 68}{space 4}-1.211677{col 81}{space 3} 11.72145
{txt}{space 16}region_mid {c |}{col 28}{res}{space 2}-1.871381{col 40}{space 2} 1.087112{col 51}{space 1}   -1.72{col 60}{space 3}0.085{col 68}{space 4}-4.002082{col 81}{space 3} .2593192
{txt}{space 15}region_west {c |}{col 28}{res}{space 2}-.0566254{col 40}{space 2}  .609347{col 51}{space 1}   -0.09{col 60}{space 3}0.926{col 68}{space 4}-1.250924{col 81}{space 3} 1.137673
{txt}{space 12}region_farwest {c |}{col 28}{res}{space 2} 1.743472{col 40}{space 2} .7006193{col 51}{space 1}    2.49{col 60}{space 3}0.013{col 68}{space 4} .3702835{col 81}{space 3} 3.116661
{txt}{space 26} {c |}
{space 23}sno {c |}
{space 24}2  {c |}{col 28}{res}{space 2}-.9976474{col 40}{space 2} 1.990021{col 51}{space 1}   -0.50{col 60}{space 3}0.616{col 68}{space 4}-4.898017{col 81}{space 3} 2.902723
{txt}{space 24}3  {c |}{col 28}{res}{space 2}-2.140025{col 40}{space 2} 2.950521{col 51}{space 1}   -0.73{col 60}{space 3}0.468{col 68}{space 4}-7.922939{col 81}{space 3}  3.64289
{txt}{space 24}4  {c |}{col 28}{res}{space 2}-3.049701{col 40}{space 2} 3.184032{col 51}{space 1}   -0.96{col 60}{space 3}0.338{col 68}{space 4}-9.290289{col 81}{space 3} 3.190886
{txt}{space 24}5  {c |}{col 28}{res}{space 2}-.3306459{col 40}{space 2} .5776195{col 51}{space 1}   -0.57{col 60}{space 3}0.567{col 68}{space 4}-1.462759{col 81}{space 3} .8014675
{txt}{space 24}6  {c |}{col 28}{res}{space 2}-.0853813{col 40}{space 2} .5734142{col 51}{space 1}   -0.15{col 60}{space 3}0.882{col 68}{space 4}-1.209253{col 81}{space 3}  1.03849
{txt}{space 24}7  {c |}{col 28}{res}{space 2}-.9033782{col 40}{space 2} 1.983793{col 51}{space 1}   -0.46{col 60}{space 3}0.649{col 68}{space 4}-4.791541{col 81}{space 3} 2.984785
{txt}{space 24}8  {c |}{col 28}{res}{space 2} -3.77259{col 40}{space 2} 3.854916{col 51}{space 1}   -0.98{col 60}{space 3}0.328{col 68}{space 4}-11.32809{col 81}{space 3} 3.782906
{txt}{space 24}9  {c |}{col 28}{res}{space 2}-5.541534{col 40}{space 2} 4.733078{col 51}{space 1}   -1.17{col 60}{space 3}0.242{col 68}{space 4} -14.8182{col 81}{space 3} 3.735128
{txt}{space 23}10  {c |}{col 28}{res}{space 2}-4.726802{col 40}{space 2} 3.192599{col 51}{space 1}   -1.48{col 60}{space 3}0.139{col 68}{space 4}-10.98418{col 81}{space 3} 1.530578
{txt}{space 23}11  {c |}{col 28}{res}{space 2}-3.184515{col 40}{space 2} 1.959806{col 51}{space 1}   -1.62{col 60}{space 3}0.104{col 68}{space 4}-7.025665{col 81}{space 3}  .656634
{txt}{space 23}12  {c |}{col 28}{res}{space 2}-2.075261{col 40}{space 2} 1.656005{col 51}{space 1}   -1.25{col 60}{space 3}0.210{col 68}{space 4}-5.320972{col 81}{space 3}  1.17045
{txt}{space 23}13  {c |}{col 28}{res}{space 2}-1.981262{col 40}{space 2} 3.488444{col 51}{space 1}   -0.57{col 60}{space 3}0.570{col 68}{space 4}-8.818488{col 81}{space 3} 4.855964
{txt}{space 23}14  {c |}{col 28}{res}{space 2}-6.167544{col 40}{space 2} 4.771075{col 51}{space 1}   -1.29{col 60}{space 3}0.196{col 68}{space 4}-15.51868{col 81}{space 3} 3.183592
{txt}{space 23}15  {c |}{col 28}{res}{space 2}-3.888314{col 40}{space 2} 4.256725{col 51}{space 1}   -0.91{col 60}{space 3}0.361{col 68}{space 4}-12.23134{col 81}{space 3} 4.454713
{txt}{space 23}16  {c |}{col 28}{res}{space 2}-5.102475{col 40}{space 2} 3.315997{col 51}{space 1}   -1.54{col 60}{space 3}0.124{col 68}{space 4}-11.60171{col 81}{space 3}  1.39676
{txt}{space 23}17  {c |}{col 28}{res}{space 2}  11.0128{col 40}{space 2} 6.624757{col 51}{space 1}    1.66{col 60}{space 3}0.096{col 68}{space 4}-1.971486{col 81}{space 3} 23.99708
{txt}{space 23}18  {c |}{col 28}{res}{space 2} 8.607101{col 40}{space 2} 5.168795{col 51}{space 1}    1.67{col 60}{space 3}0.096{col 68}{space 4}-1.523552{col 81}{space 3} 18.73775
{txt}{space 23}19  {c |}{col 28}{res}{space 2} 8.226801{col 40}{space 2} 4.379511{col 51}{space 1}    1.88{col 60}{space 3}0.060{col 68}{space 4}-.3568829{col 81}{space 3} 16.81048
{txt}{space 23}20  {c |}{col 28}{res}{space 2} 3.273944{col 40}{space 2} .9266102{col 51}{space 1}    3.53{col 60}{space 3}0.000{col 68}{space 4} 1.457821{col 81}{space 3} 5.090067
{txt}{space 23}21  {c |}{col 28}{res}{space 2} 2.853354{col 40}{space 2} .8694661{col 51}{space 1}    3.28{col 60}{space 3}0.001{col 68}{space 4} 1.149232{col 81}{space 3} 4.557477
{txt}{space 23}22  {c |}{col 28}{res}{space 2} 4.070593{col 40}{space 2} 2.252937{col 51}{space 1}    1.81{col 60}{space 3}0.071{col 68}{space 4}-.3450821{col 81}{space 3} 8.486269
{txt}{space 23}23  {c |}{col 28}{res}{space 2}  4.21885{col 40}{space 2} 1.803083{col 51}{space 1}    2.34{col 60}{space 3}0.019{col 68}{space 4}  .684872{col 81}{space 3} 7.752829
{txt}{space 23}24  {c |}{col 28}{res}{space 2} 5.132902{col 40}{space 2} 2.639274{col 51}{space 1}    1.94{col 60}{space 3}0.052{col 68}{space 4} -.039979{col 81}{space 3} 10.30578
{txt}{space 23}25  {c |}{col 28}{res}{space 2}  4.91134{col 40}{space 2} 2.381752{col 51}{space 1}    2.06{col 60}{space 3}0.039{col 68}{space 4} .2431923{col 81}{space 3} 9.579489
{txt}{space 23}26  {c |}{col 28}{res}{space 2} 6.634119{col 40}{space 2} 3.779673{col 51}{space 1}    1.76{col 60}{space 3}0.079{col 68}{space 4}-.7739039{col 81}{space 3} 14.04214
{txt}{space 23}27  {c |}{col 28}{res}{space 2} 5.197074{col 40}{space 2} 1.296097{col 51}{space 1}    4.01{col 60}{space 3}0.000{col 68}{space 4} 2.656771{col 81}{space 3} 7.737377
{txt}{space 23}28  {c |}{col 28}{res}{space 2} 20.28979{col 40}{space 2} 10.60565{col 51}{space 1}    1.91{col 60}{space 3}0.056{col 68}{space 4}-.4969064{col 81}{space 3} 41.07648
{txt}{space 23}29  {c |}{col 28}{res}{space 2} 31.26121{col 40}{space 2} 19.02436{col 51}{space 1}    1.64{col 60}{space 3}0.100{col 68}{space 4}-6.025862{col 81}{space 3} 68.54827
{txt}{space 23}30  {c |}{col 28}{res}{space 2} 42.87197{col 40}{space 2} 26.00848{col 51}{space 1}    1.65{col 60}{space 3}0.099{col 68}{space 4}-8.103721{col 81}{space 3} 93.84766
{txt}{space 23}31  {c |}{col 28}{res}{space 2}  8.94065{col 40}{space 2} 3.130596{col 51}{space 1}    2.86{col 60}{space 3}0.004{col 68}{space 4} 2.804794{col 81}{space 3} 15.07651
{txt}{space 23}32  {c |}{col 28}{res}{space 2} 4.655687{col 40}{space 2} 1.236331{col 51}{space 1}    3.77{col 60}{space 3}0.000{col 68}{space 4} 2.232522{col 81}{space 3} 7.078852
{txt}{space 23}33  {c |}{col 28}{res}{space 2} 1.402391{col 40}{space 2} .6727656{col 51}{space 1}    2.08{col 60}{space 3}0.037{col 68}{space 4} .0837945{col 81}{space 3} 2.720987
{txt}{space 23}34  {c |}{col 28}{res}{space 2} 6.919719{col 40}{space 2} 2.509831{col 51}{space 1}    2.76{col 60}{space 3}0.006{col 68}{space 4} 2.000541{col 81}{space 3}  11.8389
{txt}{space 23}35  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}36  {c |}{col 28}{res}{space 2} 6.461022{col 40}{space 2}  2.02892{col 51}{space 1}    3.18{col 60}{space 3}0.001{col 68}{space 4} 2.484413{col 81}{space 3} 10.43763
{txt}{space 23}37  {c |}{col 28}{res}{space 2} .4005822{col 40}{space 2} 1.404049{col 51}{space 1}    0.29{col 60}{space 3}0.775{col 68}{space 4}-2.351304{col 81}{space 3} 3.152468
{txt}{space 23}38  {c |}{col 28}{res}{space 2} 2.136982{col 40}{space 2}  1.10135{col 51}{space 1}    1.94{col 60}{space 3}0.052{col 68}{space 4}-.0216244{col 81}{space 3} 4.295589
{txt}{space 23}39  {c |}{col 28}{res}{space 2} 2.440986{col 40}{space 2} 1.008695{col 51}{space 1}    2.42{col 60}{space 3}0.016{col 68}{space 4} .4639812{col 81}{space 3} 4.417991
{txt}{space 23}40  {c |}{col 28}{res}{space 2} 5.379792{col 40}{space 2} 1.410398{col 51}{space 1}    3.81{col 60}{space 3}0.000{col 68}{space 4} 2.615462{col 81}{space 3} 8.144122
{txt}{space 23}41  {c |}{col 28}{res}{space 2} .8544664{col 40}{space 2} .9498208{col 51}{space 1}    0.90{col 60}{space 3}0.368{col 68}{space 4}-1.007148{col 81}{space 3} 2.716081
{txt}{space 23}42  {c |}{col 28}{res}{space 2}  1.99476{col 40}{space 2} 1.521723{col 51}{space 1}    1.31{col 60}{space 3}0.190{col 68}{space 4} -.987762{col 81}{space 3} 4.977283
{txt}{space 23}43  {c |}{col 28}{res}{space 2} 4.981526{col 40}{space 2} 1.537662{col 51}{space 1}    3.24{col 60}{space 3}0.001{col 68}{space 4} 1.967764{col 81}{space 3} 7.995288
{txt}{space 23}44  {c |}{col 28}{res}{space 2} 1.509447{col 40}{space 2} 1.228687{col 51}{space 1}    1.23{col 60}{space 3}0.219{col 68}{space 4}-.8987353{col 81}{space 3}  3.91763
{txt}{space 23}45  {c |}{col 28}{res}{space 2} 4.493697{col 40}{space 2} 1.137695{col 51}{space 1}    3.95{col 60}{space 3}0.000{col 68}{space 4} 2.263856{col 81}{space 3} 6.723538
{txt}{space 23}46  {c |}{col 28}{res}{space 2} 3.213683{col 40}{space 2} .9912983{col 51}{space 1}    3.24{col 60}{space 3}0.001{col 68}{space 4} 1.270774{col 81}{space 3} 5.156592
{txt}{space 23}47  {c |}{col 28}{res}{space 2} .9542817{col 40}{space 2} 1.654454{col 51}{space 1}    0.58{col 60}{space 3}0.564{col 68}{space 4}-2.288389{col 81}{space 3} 4.196953
{txt}{space 23}48  {c |}{col 28}{res}{space 2} 2.931467{col 40}{space 2} .8530607{col 51}{space 1}    3.44{col 60}{space 3}0.001{col 68}{space 4} 1.259499{col 81}{space 3} 4.603435
{txt}{space 23}49  {c |}{col 28}{res}{space 2} .5325619{col 40}{space 2} 1.665459{col 51}{space 1}    0.32{col 60}{space 3}0.749{col 68}{space 4}-2.731677{col 81}{space 3} 3.796801
{txt}{space 23}50  {c |}{col 28}{res}{space 2} 1.237681{col 40}{space 2} 1.099045{col 51}{space 1}    1.13{col 60}{space 3}0.260{col 68}{space 4} -.916408{col 81}{space 3} 3.391769
{txt}{space 23}51  {c |}{col 28}{res}{space 2} 2.992853{col 40}{space 2} .8566726{col 51}{space 1}    3.49{col 60}{space 3}0.000{col 68}{space 4} 1.313805{col 81}{space 3}   4.6719
{txt}{space 23}52  {c |}{col 28}{res}{space 2} -.388764{col 40}{space 2} 1.392984{col 51}{space 1}   -0.28{col 60}{space 3}0.780{col 68}{space 4}-3.118962{col 81}{space 3} 2.341434
{txt}{space 23}53  {c |}{col 28}{res}{space 2} 2.403205{col 40}{space 2} .8397444{col 51}{space 1}    2.86{col 60}{space 3}0.004{col 68}{space 4} .7573366{col 81}{space 3} 4.049074
{txt}{space 23}54  {c |}{col 28}{res}{space 2}-.7688547{col 40}{space 2} 1.546832{col 51}{space 1}   -0.50{col 60}{space 3}0.619{col 68}{space 4}-3.800589{col 81}{space 3} 2.262879
{txt}{space 23}55  {c |}{col 28}{res}{space 2} 1.255349{col 40}{space 2} .9596547{col 51}{space 1}    1.31{col 60}{space 3}0.191{col 68}{space 4}-.6255394{col 81}{space 3} 3.136238
{txt}{space 23}56  {c |}{col 28}{res}{space 2} .4929867{col 40}{space 2} .8927942{col 51}{space 1}    0.55{col 60}{space 3}0.581{col 68}{space 4}-1.256858{col 81}{space 3} 2.242831
{txt}{space 23}57  {c |}{col 28}{res}{space 2} 3.359519{col 40}{space 2} .8518484{col 51}{space 1}    3.94{col 60}{space 3}0.000{col 68}{space 4} 1.689927{col 81}{space 3} 5.029111
{txt}{space 23}58  {c |}{col 28}{res}{space 2}-1.524774{col 40}{space 2} 1.567212{col 51}{space 1}   -0.97{col 60}{space 3}0.331{col 68}{space 4}-4.596454{col 81}{space 3} 1.546905
{txt}{space 23}59  {c |}{col 28}{res}{space 2}  1.00319{col 40}{space 2} .7762811{col 51}{space 1}    1.29{col 60}{space 3}0.196{col 68}{space 4}-.5182928{col 81}{space 3} 2.524673
{txt}{space 23}60  {c |}{col 28}{res}{space 2} .6061848{col 40}{space 2} .5466095{col 51}{space 1}    1.11{col 60}{space 3}0.267{col 68}{space 4}-.4651502{col 81}{space 3}  1.67752
{txt}{space 23}61  {c |}{col 28}{res}{space 2} .1373404{col 40}{space 2} .5287594{col 51}{space 1}    0.26{col 60}{space 3}0.795{col 68}{space 4}-.8990091{col 81}{space 3}  1.17369
{txt}{space 23}62  {c |}{col 28}{res}{space 2}-1.461719{col 40}{space 2} 1.678425{col 51}{space 1}   -0.87{col 60}{space 3}0.384{col 68}{space 4}-4.751372{col 81}{space 3} 1.827934
{txt}{space 23}63  {c |}{col 28}{res}{space 2} 1.113218{col 40}{space 2} .5404167{col 51}{space 1}    2.06{col 60}{space 3}0.039{col 68}{space 4} .0540204{col 81}{space 3} 2.172415
{txt}{space 23}64  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}65  {c |}{col 28}{res}{space 2}-1.619576{col 40}{space 2} .6349895{col 51}{space 1}   -2.55{col 60}{space 3}0.011{col 68}{space 4}-2.864133{col 81}{space 3}-.3750197
{txt}{space 23}66  {c |}{col 28}{res}{space 2} -2.97309{col 40}{space 2} 1.206498{col 51}{space 1}   -2.46{col 60}{space 3}0.014{col 68}{space 4}-5.337783{col 81}{space 3}-.6083968
{txt}{space 23}67  {c |}{col 28}{res}{space 2}-.9659001{col 40}{space 2} .8032092{col 51}{space 1}   -1.20{col 60}{space 3}0.229{col 68}{space 4}-2.540161{col 81}{space 3} .6083609
{txt}{space 23}68  {c |}{col 28}{res}{space 2}-2.122851{col 40}{space 2} .6549714{col 51}{space 1}   -3.24{col 60}{space 3}0.001{col 68}{space 4}-3.406571{col 81}{space 3}-.8391304
{txt}{space 23}69  {c |}{col 28}{res}{space 2}-.5184805{col 40}{space 2} .6266525{col 51}{space 1}   -0.83{col 60}{space 3}0.408{col 68}{space 4}-1.746697{col 81}{space 3} .7097359
{txt}{space 23}70  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}71  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}72  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}73  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}74  {c |}{col 28}{res}{space 2} -.404644{col 40}{space 2} .7317335{col 51}{space 1}   -0.55{col 60}{space 3}0.580{col 68}{space 4}-1.838815{col 81}{space 3} 1.029527
{txt}{space 23}75  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2}-5.760221{col 40}{space 2} 2.433708{col 51}{space 1}   -2.37{col 60}{space 3}0.018{col 68}{space 4} -10.5302{col 81}{space 3}-.9902403
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 21}/ln_r {c |}{col 28}{res}{space 2} .6062758{col 40}{space 2} .2369902{col 68}{space 4} .1417836{col 81}{space 3} 1.070768
{txt}{space 21}/ln_s {c |}{col 28}{res}{space 2} 3.292741{col 40}{space 2} .3201937{col 68}{space 4} 2.665173{col 81}{space 3} 3.920309
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                         r {c |}{col 28}{res}{space 2}  1.83359{col 40}{space 2} .4345428{col 68}{space 4} 1.152327{col 81}{space 3} 2.917619
{txt}                         s {c |}{col 28}{res}{space 2} 26.91654{col 40}{space 2} 8.618506{col 68}{space 4} 14.37043{col 81}{space 3} 50.41602
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{txt}LR test vs. pooled: {help j_chibar##|_new:chibar2(01) = }{res}0.00{col 56}{txt}Prob >= chibar2 = {res}1.000
{txt}
{com}. 
. xtnbreg total_civil_cases lag_civil_cases  ln_cum_maoist_victims peoples_govt_active ln_pop percent_votes1991_1999_GAP  ln_newNGOs      ///
> litrate_1991_2001_GAP road_density_GAP year2002 hilli_region mountain_region region_east region_mid region_west region_farwest i.sno if year>1995 & year<2007 
{txt}note: 35.sno omitted because of collinearity
note: 64.sno omitted because of collinearity
note: 70.sno omitted because of collinearity
note: 71.sno omitted because of collinearity
note: 72.sno omitted because of collinearity
note: 73.sno omitted because of collinearity
note: 75.sno omitted because of collinearity

Fitting negative binomial (constant dispersion) model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1200451.1}  
Iteration 1:{space 3}log likelihood = {res:-432343.37}  
Iteration 2:{space 3}log likelihood = {res: -226238.5}  
Iteration 3:{space 3}log likelihood = {res:-19124.936}  
Iteration 4:{space 3}log likelihood = {res:-14913.957}  
Iteration 5:{space 3}log likelihood = {res:-14904.628}  
Iteration 6:{space 3}log likelihood = {res:-14904.628}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-220243.62}  
Iteration 1:{space 3}log likelihood = {res:-18470.292}  
Iteration 2:{space 3}log likelihood = {res:-7456.0091}  (backed up)
Iteration 3:{space 3}log likelihood = {res:-6120.0465}  
Iteration 4:{space 3}log likelihood = {res:-6050.9396}  
Iteration 5:{space 3}log likelihood = {res:-6046.5021}  
Iteration 6:{space 3}log likelihood = {res:-6046.4926}  
Iteration 7:{space 3}log likelihood = {res:-6046.4926}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-6046.4926}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-5875.4822}  (not concave)
Iteration 2:{space 3}log likelihood = {res:-5681.2179}  (not concave)
Iteration 3:{space 3}log likelihood = {res:-5294.3497}  (not concave)
Iteration 4:{space 3}log likelihood = {res:-5102.8074}  
Iteration 5:{space 3}log likelihood = {res:-4880.2095}  
Iteration 6:{space 3}log likelihood = {res:-4759.3426}  
Iteration 7:{space 3}log likelihood = {res: -4735.361}  
Iteration 8:{space 3}log likelihood = {res: -4734.813}  
Iteration 9:{space 3}log likelihood = {res: -4734.812}  
Iteration 10:{space 2}log likelihood = {res: -4734.812}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-9527.4454}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-6039.1762}  (not concave)
Iteration 2:{space 3}log likelihood = {res:-5232.5647}  (not concave)
Iteration 3:{space 3}log likelihood = {res:-4926.3192}  (not concave)
Iteration 4:{space 3}log likelihood = {res:-4863.4468}  
Iteration 5:{space 3}log likelihood = {res:-4791.0408}  
Iteration 6:{space 3}log likelihood = {res: -4786.713}  (not concave)
Iteration 7:{space 3}log likelihood = {res:-4767.5778}  (not concave)
Iteration 8:{space 3}log likelihood = {res:-4766.0362}  
Iteration 9:{space 3}log likelihood = {res:-4762.5381}  
Iteration 10:{space 2}log likelihood = {res:-4759.8656}  
Iteration 11:{space 2}log likelihood = {res:-4759.7774}  
Iteration 12:{space 2}log likelihood = {res:-4759.7771}  
{res}
{txt}Random-effects negative binomial regression{col 49}Number of obs{col 67}={col 69}{res}       825
{txt}Group variable: {res}sno{col 49}{txt}Number of groups{col 67}={col 69}{res}        75

{txt}Random effects u_i ~ {res}Beta{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        11
{txt}{col 63}avg{col 67}={col 69}{res}      11.0
{txt}{col 63}max{col 67}={col 69}{res}        11

{txt}{col 49}Wald chi2({res}82{txt}){col 67}={col 70}{res}  1925.02
{txt}Log likelihood  = {res}-4759.7771{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         total_civil_cases{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}lag_civil_cases {c |}{col 28}{res}{space 2}  .000168{col 40}{space 2} .0000349{col 51}{space 1}    4.82{col 60}{space 3}0.000{col 68}{space 4} .0000997{col 81}{space 3} .0002363
{txt}{space 5}ln_cum_maoist_victims {c |}{col 28}{res}{space 2}-.0741504{col 40}{space 2} .0147685{col 51}{space 1}   -5.02{col 60}{space 3}0.000{col 68}{space 4}-.1030961{col 81}{space 3}-.0452048
{txt}{space 7}peoples_govt_active {c |}{col 28}{res}{space 2} -.270617{col 40}{space 2} .0367216{col 51}{space 1}   -7.37{col 60}{space 3}0.000{col 68}{space 4}-.3425901{col 81}{space 3}-.1986438
{txt}{space 20}ln_pop {c |}{col 28}{res}{space 2} .2614431{col 40}{space 2} .1824235{col 51}{space 1}    1.43{col 60}{space 3}0.152{col 68}{space 4}-.0961005{col 81}{space 3} .6189866
{txt}percent_votes1991_1999_GAP {c |}{col 28}{res}{space 2} .0025219{col 40}{space 2} .0052308{col 51}{space 1}    0.48{col 60}{space 3}0.630{col 68}{space 4}-.0077302{col 81}{space 3}  .012774
{txt}{space 16}ln_newNGOs {c |}{col 28}{res}{space 2} .0201849{col 40}{space 2} .0226945{col 51}{space 1}    0.89{col 60}{space 3}0.374{col 68}{space 4}-.0242956{col 81}{space 3} .0646653
{txt}{space 5}litrate_1991_2001_GAP {c |}{col 28}{res}{space 2} .0006676{col 40}{space 2} .0035315{col 51}{space 1}    0.19{col 60}{space 3}0.850{col 68}{space 4} -.006254{col 81}{space 3} .0075891
{txt}{space 10}road_density_GAP {c |}{col 28}{res}{space 2}-16.57954{col 40}{space 2} 13.06179{col 51}{space 1}   -1.27{col 60}{space 3}0.204{col 68}{space 4}-42.18018{col 81}{space 3} 9.021098
{txt}{space 18}year2002 {c |}{col 28}{res}{space 2} .0991724{col 40}{space 2} .0454351{col 51}{space 1}    2.18{col 60}{space 3}0.029{col 68}{space 4} .0101212{col 81}{space 3} .1882236
{txt}{space 14}hilli_region {c |}{col 28}{res}{space 2}-2.724001{col 40}{space 2} .5410762{col 51}{space 1}   -5.03{col 60}{space 3}0.000{col 68}{space 4} -3.78449{col 81}{space 3}-1.663511
{txt}{space 11}mountain_region {c |}{col 28}{res}{space 2}-3.930938{col 40}{space 2} 1.691174{col 51}{space 1}   -2.32{col 60}{space 3}0.020{col 68}{space 4}-7.245579{col 81}{space 3}-.6162979
{txt}{space 15}region_east {c |}{col 28}{res}{space 2} 5.138599{col 40}{space 2} 3.281436{col 51}{space 1}    1.57{col 60}{space 3}0.117{col 68}{space 4}-1.292898{col 81}{space 3}  11.5701
{txt}{space 16}region_mid {c |}{col 28}{res}{space 2}-2.264927{col 40}{space 2} 1.071447{col 51}{space 1}   -2.11{col 60}{space 3}0.035{col 68}{space 4}-4.364925{col 81}{space 3}-.1649294
{txt}{space 15}region_west {c |}{col 28}{res}{space 2}-.4442037{col 40}{space 2} .6095474{col 51}{space 1}   -0.73{col 60}{space 3}0.466{col 68}{space 4}-1.638895{col 81}{space 3} .7504872
{txt}{space 12}region_farwest {c |}{col 28}{res}{space 2} 1.796067{col 40}{space 2} .7013017{col 51}{space 1}    2.56{col 60}{space 3}0.010{col 68}{space 4} .4215413{col 81}{space 3} 3.170593
{txt}{space 26} {c |}
{space 23}sno {c |}
{space 24}2  {c |}{col 28}{res}{space 2}-.7120662{col 40}{space 2} 1.975058{col 51}{space 1}   -0.36{col 60}{space 3}0.718{col 68}{space 4}-4.583108{col 81}{space 3} 3.158976
{txt}{space 24}3  {c |}{col 28}{res}{space 2}-2.033741{col 40}{space 2} 2.940215{col 51}{space 1}   -0.69{col 60}{space 3}0.489{col 68}{space 4}-7.796457{col 81}{space 3} 3.728975
{txt}{space 24}4  {c |}{col 28}{res}{space 2} -2.75681{col 40}{space 2} 3.167615{col 51}{space 1}   -0.87{col 60}{space 3}0.384{col 68}{space 4}-8.965222{col 81}{space 3} 3.451602
{txt}{space 24}5  {c |}{col 28}{res}{space 2}-.0909451{col 40}{space 2} .5899455{col 51}{space 1}   -0.15{col 60}{space 3}0.877{col 68}{space 4}-1.247217{col 81}{space 3} 1.065327
{txt}{space 24}6  {c |}{col 28}{res}{space 2}-.3519638{col 40}{space 2} .5770821{col 51}{space 1}   -0.61{col 60}{space 3}0.542{col 68}{space 4}-1.483024{col 81}{space 3} .7790963
{txt}{space 24}7  {c |}{col 28}{res}{space 2}-.8208142{col 40}{space 2}  1.96733{col 51}{space 1}   -0.42{col 60}{space 3}0.677{col 68}{space 4} -4.67671{col 81}{space 3} 3.035081
{txt}{space 24}8  {c |}{col 28}{res}{space 2}-3.509484{col 40}{space 2} 3.835765{col 51}{space 1}   -0.91{col 60}{space 3}0.360{col 68}{space 4}-11.02745{col 81}{space 3} 4.008478
{txt}{space 24}9  {c |}{col 28}{res}{space 2} -5.01642{col 40}{space 2} 4.720895{col 51}{space 1}   -1.06{col 60}{space 3}0.288{col 68}{space 4}-14.26921{col 81}{space 3} 4.236364
{txt}{space 23}10  {c |}{col 28}{res}{space 2}-4.403745{col 40}{space 2} 3.182404{col 51}{space 1}   -1.38{col 60}{space 3}0.166{col 68}{space 4}-10.64114{col 81}{space 3} 1.833652
{txt}{space 23}11  {c |}{col 28}{res}{space 2}-3.265038{col 40}{space 2} 1.982942{col 51}{space 1}   -1.65{col 60}{space 3}0.100{col 68}{space 4}-7.151533{col 81}{space 3} .6214561
{txt}{space 23}12  {c |}{col 28}{res}{space 2}-1.933656{col 40}{space 2} 1.677416{col 51}{space 1}   -1.15{col 60}{space 3}0.249{col 68}{space 4} -5.22133{col 81}{space 3} 1.354018
{txt}{space 23}13  {c |}{col 28}{res}{space 2} -1.46631{col 40}{space 2} 3.466608{col 51}{space 1}   -0.42{col 60}{space 3}0.672{col 68}{space 4}-8.260736{col 81}{space 3} 5.328116
{txt}{space 23}14  {c |}{col 28}{res}{space 2}-5.516566{col 40}{space 2} 4.758791{col 51}{space 1}   -1.16{col 60}{space 3}0.246{col 68}{space 4}-14.84363{col 81}{space 3} 3.810494
{txt}{space 23}15  {c |}{col 28}{res}{space 2}-3.499861{col 40}{space 2}  4.24023{col 51}{space 1}   -0.83{col 60}{space 3}0.409{col 68}{space 4}-11.81056{col 81}{space 3} 4.810837
{txt}{space 23}16  {c |}{col 28}{res}{space 2}-4.797342{col 40}{space 2} 3.302297{col 51}{space 1}   -1.45{col 60}{space 3}0.146{col 68}{space 4}-11.26973{col 81}{space 3} 1.675041
{txt}{space 23}17  {c |}{col 28}{res}{space 2} 10.63828{col 40}{space 2} 6.601749{col 51}{space 1}    1.61{col 60}{space 3}0.107{col 68}{space 4} -2.30091{col 81}{space 3} 23.57747
{txt}{space 23}18  {c |}{col 28}{res}{space 2} 8.256236{col 40}{space 2} 5.143215{col 51}{space 1}    1.61{col 60}{space 3}0.108{col 68}{space 4} -1.82428{col 81}{space 3} 18.33675
{txt}{space 23}19  {c |}{col 28}{res}{space 2} 7.678827{col 40}{space 2} 4.347084{col 51}{space 1}    1.77{col 60}{space 3}0.077{col 68}{space 4}-.8413001{col 81}{space 3} 16.19895
{txt}{space 23}20  {c |}{col 28}{res}{space 2} 4.111742{col 40}{space 2} .9229119{col 51}{space 1}    4.46{col 60}{space 3}0.000{col 68}{space 4} 2.302868{col 81}{space 3} 5.920616
{txt}{space 23}21  {c |}{col 28}{res}{space 2} 3.615378{col 40}{space 2} .8618131{col 51}{space 1}    4.20{col 60}{space 3}0.000{col 68}{space 4} 1.926255{col 81}{space 3}   5.3045
{txt}{space 23}22  {c |}{col 28}{res}{space 2} 4.643455{col 40}{space 2} 2.238703{col 51}{space 1}    2.07{col 60}{space 3}0.038{col 68}{space 4} .2556775{col 81}{space 3} 9.031232
{txt}{space 23}23  {c |}{col 28}{res}{space 2} 4.186602{col 40}{space 2} 1.783842{col 51}{space 1}    2.35{col 60}{space 3}0.019{col 68}{space 4} .6903357{col 81}{space 3} 7.682867
{txt}{space 23}24  {c |}{col 28}{res}{space 2} 5.171217{col 40}{space 2} 2.614062{col 51}{space 1}    1.98{col 60}{space 3}0.048{col 68}{space 4} .0477504{col 81}{space 3} 10.29468
{txt}{space 23}25  {c |}{col 28}{res}{space 2}  4.79684{col 40}{space 2} 2.356489{col 51}{space 1}    2.04{col 60}{space 3}0.042{col 68}{space 4} .1782065{col 81}{space 3} 9.415473
{txt}{space 23}26  {c |}{col 28}{res}{space 2} 6.760735{col 40}{space 2} 3.770222{col 51}{space 1}    1.79{col 60}{space 3}0.073{col 68}{space 4}-.6287644{col 81}{space 3} 14.15023
{txt}{space 23}27  {c |}{col 28}{res}{space 2} 6.015056{col 40}{space 2} 1.292149{col 51}{space 1}    4.66{col 60}{space 3}0.000{col 68}{space 4} 3.482489{col 81}{space 3} 8.547622
{txt}{space 23}28  {c |}{col 28}{res}{space 2} 18.92373{col 40}{space 2} 10.58986{col 51}{space 1}    1.79{col 60}{space 3}0.074{col 68}{space 4}-1.832013{col 81}{space 3} 39.67947
{txt}{space 23}29  {c |}{col 28}{res}{space 2} 28.68381{col 40}{space 2} 19.03233{col 51}{space 1}    1.51{col 60}{space 3}0.132{col 68}{space 4}-8.618865{col 81}{space 3} 65.98649
{txt}{space 23}30  {c |}{col 28}{res}{space 2} 38.05064{col 40}{space 2} 25.94932{col 51}{space 1}    1.47{col 60}{space 3}0.143{col 68}{space 4}-12.80909{col 81}{space 3} 88.91036
{txt}{space 23}31  {c |}{col 28}{res}{space 2}  9.53322{col 40}{space 2} 3.142849{col 51}{space 1}    3.03{col 60}{space 3}0.002{col 68}{space 4} 3.373349{col 81}{space 3} 15.69309
{txt}{space 23}32  {c |}{col 28}{res}{space 2} 5.479414{col 40}{space 2} 1.237644{col 51}{space 1}    4.43{col 60}{space 3}0.000{col 68}{space 4} 3.053676{col 81}{space 3} 7.905151
{txt}{space 23}33  {c |}{col 28}{res}{space 2}  1.97711{col 40}{space 2} .6675069{col 51}{space 1}    2.96{col 60}{space 3}0.003{col 68}{space 4}  .668821{col 81}{space 3}   3.2854
{txt}{space 23}34  {c |}{col 28}{res}{space 2} 7.135612{col 40}{space 2} 2.500567{col 51}{space 1}    2.85{col 60}{space 3}0.004{col 68}{space 4}  2.23459{col 81}{space 3} 12.03663
{txt}{space 23}35  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}36  {c |}{col 28}{res}{space 2} 6.753271{col 40}{space 2} 2.019113{col 51}{space 1}    3.34{col 60}{space 3}0.001{col 68}{space 4} 2.795882{col 81}{space 3} 10.71066
{txt}{space 23}37  {c |}{col 28}{res}{space 2} 1.202282{col 40}{space 2} 1.421679{col 51}{space 1}    0.85{col 60}{space 3}0.398{col 68}{space 4}-1.584158{col 81}{space 3} 3.988722
{txt}{space 23}38  {c |}{col 28}{res}{space 2} 2.654536{col 40}{space 2} 1.114958{col 51}{space 1}    2.38{col 60}{space 3}0.017{col 68}{space 4} .4692591{col 81}{space 3} 4.839814
{txt}{space 23}39  {c |}{col 28}{res}{space 2} 3.422149{col 40}{space 2} 1.000119{col 51}{space 1}    3.42{col 60}{space 3}0.001{col 68}{space 4} 1.461952{col 81}{space 3} 5.382345
{txt}{space 23}40  {c |}{col 28}{res}{space 2} 5.903649{col 40}{space 2} 1.402337{col 51}{space 1}    4.21{col 60}{space 3}0.000{col 68}{space 4}  3.15512{col 81}{space 3} 8.652178
{txt}{space 23}41  {c |}{col 28}{res}{space 2} 1.269176{col 40}{space 2} .9847263{col 51}{space 1}    1.29{col 60}{space 3}0.197{col 68}{space 4}-.6608518{col 81}{space 3} 3.199204
{txt}{space 23}42  {c |}{col 28}{res}{space 2} 3.043991{col 40}{space 2} 1.488237{col 51}{space 1}    2.05{col 60}{space 3}0.041{col 68}{space 4} .1271007{col 81}{space 3} 5.960882
{txt}{space 23}43  {c |}{col 28}{res}{space 2} 5.237103{col 40}{space 2} 1.519248{col 51}{space 1}    3.45{col 60}{space 3}0.001{col 68}{space 4} 2.259432{col 81}{space 3} 8.214775
{txt}{space 23}44  {c |}{col 28}{res}{space 2} 2.106674{col 40}{space 2} 1.216469{col 51}{space 1}    1.73{col 60}{space 3}0.083{col 68}{space 4}-.2775618{col 81}{space 3}  4.49091
{txt}{space 23}45  {c |}{col 28}{res}{space 2} 4.958691{col 40}{space 2}  1.13561{col 51}{space 1}    4.37{col 60}{space 3}0.000{col 68}{space 4} 2.732936{col 81}{space 3} 7.184446
{txt}{space 23}46  {c |}{col 28}{res}{space 2} 3.892904{col 40}{space 2} .9859963{col 51}{space 1}    3.95{col 60}{space 3}0.000{col 68}{space 4} 1.960387{col 81}{space 3} 5.825421
{txt}{space 23}47  {c |}{col 28}{res}{space 2} 1.908223{col 40}{space 2} 1.667709{col 51}{space 1}    1.14{col 60}{space 3}0.253{col 68}{space 4}-1.360426{col 81}{space 3} 5.176873
{txt}{space 23}48  {c |}{col 28}{res}{space 2} 3.497718{col 40}{space 2} .8542446{col 51}{space 1}    4.09{col 60}{space 3}0.000{col 68}{space 4} 1.823429{col 81}{space 3} 5.172006
{txt}{space 23}49  {c |}{col 28}{res}{space 2} 1.180219{col 40}{space 2} 1.672522{col 51}{space 1}    0.71{col 60}{space 3}0.480{col 68}{space 4}-2.097863{col 81}{space 3} 4.458302
{txt}{space 23}50  {c |}{col 28}{res}{space 2} 1.200411{col 40}{space 2} 1.079027{col 51}{space 1}    1.11{col 60}{space 3}0.266{col 68}{space 4}-.9144436{col 81}{space 3} 3.315266
{txt}{space 23}51  {c |}{col 28}{res}{space 2} 3.098099{col 40}{space 2} .8555384{col 51}{space 1}    3.62{col 60}{space 3}0.000{col 68}{space 4} 1.421275{col 81}{space 3} 4.774924
{txt}{space 23}52  {c |}{col 28}{res}{space 2}-.1348116{col 40}{space 2}  1.40078{col 51}{space 1}   -0.10{col 60}{space 3}0.923{col 68}{space 4} -2.88029{col 81}{space 3} 2.610667
{txt}{space 23}53  {c |}{col 28}{res}{space 2} 2.488158{col 40}{space 2} .8373771{col 51}{space 1}    2.97{col 60}{space 3}0.003{col 68}{space 4}  .846929{col 81}{space 3} 4.129387
{txt}{space 23}54  {c |}{col 28}{res}{space 2}-.4268869{col 40}{space 2} 1.552848{col 51}{space 1}   -0.27{col 60}{space 3}0.783{col 68}{space 4}-3.470414{col 81}{space 3}  2.61664
{txt}{space 23}55  {c |}{col 28}{res}{space 2} 1.316153{col 40}{space 2} .9482363{col 51}{space 1}    1.39{col 60}{space 3}0.165{col 68}{space 4}-.5423559{col 81}{space 3} 3.174662
{txt}{space 23}56  {c |}{col 28}{res}{space 2}  .603251{col 40}{space 2} .8788997{col 51}{space 1}    0.69{col 60}{space 3}0.492{col 68}{space 4}-1.119361{col 81}{space 3} 2.325863
{txt}{space 23}57  {c |}{col 28}{res}{space 2} 3.555367{col 40}{space 2} .8463871{col 51}{space 1}    4.20{col 60}{space 3}0.000{col 68}{space 4} 1.896478{col 81}{space 3} 5.214255
{txt}{space 23}58  {c |}{col 28}{res}{space 2} -1.13719{col 40}{space 2} 1.565271{col 51}{space 1}   -0.73{col 60}{space 3}0.468{col 68}{space 4}-4.205065{col 81}{space 3} 1.930684
{txt}{space 23}59  {c |}{col 28}{res}{space 2}  1.40573{col 40}{space 2} .7677779{col 51}{space 1}    1.83{col 60}{space 3}0.067{col 68}{space 4}-.0990869{col 81}{space 3} 2.910547
{txt}{space 23}60  {c |}{col 28}{res}{space 2} .4427578{col 40}{space 2} .5452051{col 51}{space 1}    0.81{col 60}{space 3}0.417{col 68}{space 4}-.6258246{col 81}{space 3}  1.51134
{txt}{space 23}61  {c |}{col 28}{res}{space 2}  .240429{col 40}{space 2} .5294806{col 51}{space 1}    0.45{col 60}{space 3}0.650{col 68}{space 4}-.7973339{col 81}{space 3} 1.278192
{txt}{space 23}62  {c |}{col 28}{res}{space 2}-1.219542{col 40}{space 2} 1.678358{col 51}{space 1}   -0.73{col 60}{space 3}0.467{col 68}{space 4}-4.509064{col 81}{space 3}  2.06998
{txt}{space 23}63  {c |}{col 28}{res}{space 2} .8715213{col 40}{space 2} .5348051{col 51}{space 1}    1.63{col 60}{space 3}0.103{col 68}{space 4}-.1766774{col 81}{space 3}  1.91972
{txt}{space 23}64  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}65  {c |}{col 28}{res}{space 2} -1.52762{col 40}{space 2} .6401969{col 51}{space 1}   -2.39{col 60}{space 3}0.017{col 68}{space 4}-2.782382{col 81}{space 3}-.2728566
{txt}{space 23}66  {c |}{col 28}{res}{space 2}-2.581222{col 40}{space 2} 1.206258{col 51}{space 1}   -2.14{col 60}{space 3}0.032{col 68}{space 4}-4.945444{col 81}{space 3}-.2169989
{txt}{space 23}67  {c |}{col 28}{res}{space 2}-.7296392{col 40}{space 2} .8001472{col 51}{space 1}   -0.91{col 60}{space 3}0.362{col 68}{space 4}-2.297899{col 81}{space 3} .8386204
{txt}{space 23}68  {c |}{col 28}{res}{space 2}-2.060413{col 40}{space 2} .6530242{col 51}{space 1}   -3.16{col 60}{space 3}0.002{col 68}{space 4}-3.340317{col 81}{space 3}-.7805096
{txt}{space 23}69  {c |}{col 28}{res}{space 2}-.4188554{col 40}{space 2} .6241783{col 51}{space 1}   -0.67{col 60}{space 3}0.502{col 68}{space 4}-1.642222{col 81}{space 3} .8045116
{txt}{space 23}70  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}71  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}72  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}73  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}74  {c |}{col 28}{res}{space 2}-.8809875{col 40}{space 2} .7340734{col 51}{space 1}   -1.20{col 60}{space 3}0.230{col 68}{space 4}-2.319745{col 81}{space 3} .5577699
{txt}{space 23}75  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2}-1.737705{col 40}{space 2} 2.552119{col 51}{space 1}   -0.68{col 60}{space 3}0.496{col 68}{space 4}-6.739766{col 81}{space 3} 3.264356
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 21}/ln_r {c |}{col 28}{res}{space 2} .6504988{col 40}{space 2}  .261443{col 68}{space 4} .1380799{col 81}{space 3} 1.162918
{txt}{space 21}/ln_s {c |}{col 28}{res}{space 2} 3.404971{col 40}{space 2} .3539539{col 68}{space 4} 2.711234{col 81}{space 3} 4.098708
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                         r {c |}{col 28}{res}{space 2} 1.916497{col 40}{space 2} .5010547{col 68}{space 4} 1.148067{col 81}{space 3} 3.199254
{txt}                         s {c |}{col 28}{res}{space 2} 30.11341{col 40}{space 2} 10.65876{col 68}{space 4} 15.04783{col 81}{space 3} 60.26236
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{txt}LR test vs. pooled: {help j_chibar##|_new:chibar2(01) = }{res}0.00{col 56}{txt}Prob >= chibar2 = {res}1.000
{txt}
{com}. 
. 
. //Criminal cases 
. xtnbreg total_criminal_cases lag_criminal_cases ln_cum_state_victims peoples_govt_active ln_pop percent_votes1991_1999_GAP ln_newNGOs   ///
> litrate_1991_2001_GAP road_density_GAP year2002 hilli_region mountain_region region_east region_mid region_west region_farwest i.sno if year>1995 & year<2007 
{txt}note: 35.sno omitted because of collinearity
note: 64.sno omitted because of collinearity
note: 70.sno omitted because of collinearity
note: 71.sno omitted because of collinearity
note: 72.sno omitted because of collinearity
note: 73.sno omitted because of collinearity
note: 75.sno omitted because of collinearity

Fitting negative binomial (constant dispersion) model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1185289.1}  
Iteration 1:{space 3}log likelihood = {res:-340484.17}  
Iteration 2:{space 3}log likelihood = {res:-170569.48}  
Iteration 3:{space 3}log likelihood = {res: -43517.18}  
Iteration 4:{space 3}log likelihood = {res:-13617.144}  
Iteration 5:{space 3}log likelihood = {res:-12841.313}  
Iteration 6:{space 3}log likelihood = {res:-12836.756}  
Iteration 7:{space 3}log likelihood = {res:-12836.755}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-93080.224}  
Iteration 1:{space 3}log likelihood = {res:-12995.468}  
Iteration 2:{space 3}log likelihood = {res:-6279.1285}  (backed up)
Iteration 3:{space 3}log likelihood = {res: -5681.269}  
Iteration 4:{space 3}log likelihood = {res:-5675.3875}  
Iteration 5:{space 3}log likelihood = {res:-5675.3663}  
Iteration 6:{space 3}log likelihood = {res:-5675.3663}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-5675.3663}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-5542.9881}  (not concave)
Iteration 2:{space 3}log likelihood = {res:  -5255.49}  (not concave)
Iteration 3:{space 3}log likelihood = {res:-4972.4818}  
Iteration 4:{space 3}log likelihood = {res: -4938.789}  
Iteration 5:{space 3}log likelihood = {res:-4868.2555}  
Iteration 6:{space 3}log likelihood = {res:-4641.6094}  
Iteration 7:{space 3}log likelihood = {res:-4637.9934}  
Iteration 8:{space 3}log likelihood = {res:-4637.9727}  
Iteration 9:{space 3}log likelihood = {res:-4637.9727}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-8543.2451}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-6020.1903}  (not concave)
Iteration 2:{space 3}log likelihood = {res:-4749.1873}  
Iteration 3:{space 3}log likelihood = {res:-4717.3888}  (backed up)
Iteration 4:{space 3}log likelihood = {res:-4614.9305}  
Iteration 5:{space 3}log likelihood = {res:-4608.9866}  
Iteration 6:{space 3}log likelihood = {res:-4568.7874}  
Iteration 7:{space 3}log likelihood = {res:-4557.4462}  
Iteration 8:{space 3}log likelihood = {res:-4546.1932}  
Iteration 9:{space 3}log likelihood = {res:-4544.3634}  
Iteration 10:{space 2}log likelihood = {res:-4544.3337}  
Iteration 11:{space 2}log likelihood = {res:-4544.3337}  
{res}
{txt}Random-effects negative binomial regression{col 49}Number of obs{col 67}={col 69}{res}       825
{txt}Group variable: {res}sno{col 49}{txt}Number of groups{col 67}={col 69}{res}        75

{txt}Random effects u_i ~ {res}Beta{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        11
{txt}{col 63}avg{col 67}={col 69}{res}      11.0
{txt}{col 63}max{col 67}={col 69}{res}        11

{txt}{col 49}Wald chi2({res}82{txt}){col 67}={col 70}{res}  2515.49
{txt}Log likelihood  = {res}-4544.3337{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      total_criminal_cases{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}lag_criminal_cases {c |}{col 28}{res}{space 2} .0002471{col 40}{space 2} .0000625{col 51}{space 1}    3.95{col 60}{space 3}0.000{col 68}{space 4} .0001246{col 81}{space 3} .0003696
{txt}{space 6}ln_cum_state_victims {c |}{col 28}{res}{space 2}-.1072963{col 40}{space 2} .0118494{col 51}{space 1}   -9.06{col 60}{space 3}0.000{col 68}{space 4}-.1305207{col 81}{space 3} -.084072
{txt}{space 7}peoples_govt_active {c |}{col 28}{res}{space 2}-.1789399{col 40}{space 2} .0329996{col 51}{space 1}   -5.42{col 60}{space 3}0.000{col 68}{space 4} -.243618{col 81}{space 3}-.1142619
{txt}{space 20}ln_pop {c |}{col 28}{res}{space 2}-.1912416{col 40}{space 2} .2045931{col 51}{space 1}   -0.93{col 60}{space 3}0.350{col 68}{space 4}-.5922368{col 81}{space 3} .2097535
{txt}percent_votes1991_1999_GAP {c |}{col 28}{res}{space 2} .0155909{col 40}{space 2} .0042569{col 51}{space 1}    3.66{col 60}{space 3}0.000{col 68}{space 4} .0072476{col 81}{space 3} .0239342
{txt}{space 16}ln_newNGOs {c |}{col 28}{res}{space 2} .0080855{col 40}{space 2} .0211067{col 51}{space 1}    0.38{col 60}{space 3}0.702{col 68}{space 4}-.0332829{col 81}{space 3} .0494538
{txt}{space 5}litrate_1991_2001_GAP {c |}{col 28}{res}{space 2} .0142547{col 40}{space 2} .0040093{col 51}{space 1}    3.56{col 60}{space 3}0.000{col 68}{space 4} .0063967{col 81}{space 3} .0221127
{txt}{space 10}road_density_GAP {c |}{col 28}{res}{space 2} 3.911823{col 40}{space 2} 14.44422{col 51}{space 1}    0.27{col 60}{space 3}0.787{col 68}{space 4}-24.39833{col 81}{space 3} 32.22197
{txt}{space 18}year2002 {c |}{col 28}{res}{space 2} .0271413{col 40}{space 2} .0378195{col 51}{space 1}    0.72{col 60}{space 3}0.473{col 68}{space 4}-.0469836{col 81}{space 3} .1012661
{txt}{space 14}hilli_region {c |}{col 28}{res}{space 2}-1.675189{col 40}{space 2}   .58238{col 51}{space 1}   -2.88{col 60}{space 3}0.004{col 68}{space 4}-2.816633{col 81}{space 3}-.5337455
{txt}{space 11}mountain_region {c |}{col 28}{res}{space 2}-1.276696{col 40}{space 2} 1.864405{col 51}{space 1}   -0.68{col 60}{space 3}0.493{col 68}{space 4}-4.930864{col 81}{space 3} 2.377471
{txt}{space 15}region_east {c |}{col 28}{res}{space 2}-2.393886{col 40}{space 2}  3.65563{col 51}{space 1}   -0.65{col 60}{space 3}0.513{col 68}{space 4} -9.55879{col 81}{space 3} 4.771018
{txt}{space 16}region_mid {c |}{col 28}{res}{space 2} -1.39607{col 40}{space 2} 1.243026{col 51}{space 1}   -1.12{col 60}{space 3}0.261{col 68}{space 4}-3.832356{col 81}{space 3} 1.040216
{txt}{space 15}region_west {c |}{col 28}{res}{space 2}-1.816295{col 40}{space 2} .7104934{col 51}{space 1}   -2.56{col 60}{space 3}0.011{col 68}{space 4}-3.208836{col 81}{space 3}-.4237531
{txt}{space 12}region_farwest {c |}{col 28}{res}{space 2} .9097223{col 40}{space 2} .7313701{col 51}{space 1}    1.24{col 60}{space 3}0.214{col 68}{space 4}-.5237368{col 81}{space 3} 2.343181
{txt}{space 26} {c |}
{space 23}sno {c |}
{space 24}2  {c |}{col 28}{res}{space 2} 2.905465{col 40}{space 2} 2.182793{col 51}{space 1}    1.33{col 60}{space 3}0.183{col 68}{space 4}-1.372731{col 81}{space 3} 7.183662
{txt}{space 24}3  {c |}{col 28}{res}{space 2} 3.711668{col 40}{space 2} 3.276498{col 51}{space 1}    1.13{col 60}{space 3}0.257{col 68}{space 4} -2.71015{col 81}{space 3} 10.13349
{txt}{space 24}4  {c |}{col 28}{res}{space 2}  3.76134{col 40}{space 2} 3.532841{col 51}{space 1}    1.06{col 60}{space 3}0.287{col 68}{space 4}-3.162901{col 81}{space 3} 10.68558
{txt}{space 24}5  {c |}{col 28}{res}{space 2}-.2181291{col 40}{space 2} .5779417{col 51}{space 1}   -0.38{col 60}{space 3}0.706{col 68}{space 4}-1.350874{col 81}{space 3} .9146158
{txt}{space 24}6  {c |}{col 28}{res}{space 2} 2.415333{col 40}{space 2} .6007279{col 51}{space 1}    4.02{col 60}{space 3}0.000{col 68}{space 4} 1.237928{col 81}{space 3} 3.592738
{txt}{space 24}7  {c |}{col 28}{res}{space 2} 3.455085{col 40}{space 2}  2.20757{col 51}{space 1}    1.57{col 60}{space 3}0.118{col 68}{space 4} -.871673{col 81}{space 3} 7.781843
{txt}{space 24}8  {c |}{col 28}{res}{space 2} 2.948077{col 40}{space 2} 4.281491{col 51}{space 1}    0.69{col 60}{space 3}0.491{col 68}{space 4} -5.44349{col 81}{space 3} 11.33964
{txt}{space 24}9  {c |}{col 28}{res}{space 2} 3.599297{col 40}{space 2}   5.2441{col 51}{space 1}    0.69{col 60}{space 3}0.492{col 68}{space 4} -6.67895{col 81}{space 3} 13.87754
{txt}{space 23}10  {c |}{col 28}{res}{space 2} 3.933492{col 40}{space 2} 3.526146{col 51}{space 1}    1.12{col 60}{space 3}0.265{col 68}{space 4}-2.977627{col 81}{space 3} 10.84461
{txt}{space 23}11  {c |}{col 28}{res}{space 2} 3.831154{col 40}{space 2} 2.177436{col 51}{space 1}    1.76{col 60}{space 3}0.078{col 68}{space 4}-.4365429{col 81}{space 3} 8.098851
{txt}{space 23}12  {c |}{col 28}{res}{space 2}  3.69406{col 40}{space 2} 1.821206{col 51}{space 1}    2.03{col 60}{space 3}0.043{col 68}{space 4} .1245612{col 81}{space 3} 7.263558
{txt}{space 23}13  {c |}{col 28}{res}{space 2}  3.14899{col 40}{space 2} 3.873071{col 51}{space 1}    0.81{col 60}{space 3}0.416{col 68}{space 4}-4.442091{col 81}{space 3} 10.74007
{txt}{space 23}14  {c |}{col 28}{res}{space 2} 3.221049{col 40}{space 2} 5.281425{col 51}{space 1}    0.61{col 60}{space 3}0.542{col 68}{space 4}-7.130354{col 81}{space 3} 13.57245
{txt}{space 23}15  {c |}{col 28}{res}{space 2} 3.493225{col 40}{space 2} 4.724699{col 51}{space 1}    0.74{col 60}{space 3}0.460{col 68}{space 4}-5.767015{col 81}{space 3} 12.75347
{txt}{space 23}16  {c |}{col 28}{res}{space 2}  2.30361{col 40}{space 2} 3.660017{col 51}{space 1}    0.63{col 60}{space 3}0.529{col 68}{space 4}-4.869891{col 81}{space 3} 9.477111
{txt}{space 23}17  {c |}{col 28}{res}{space 2}-3.456532{col 40}{space 2} 7.401262{col 51}{space 1}   -0.47{col 60}{space 3}0.640{col 68}{space 4}-17.96274{col 81}{space 3} 11.04968
{txt}{space 23}18  {c |}{col 28}{res}{space 2} .4546827{col 40}{space 2} 5.791382{col 51}{space 1}    0.08{col 60}{space 3}0.937{col 68}{space 4}-10.89622{col 81}{space 3} 11.80558
{txt}{space 23}19  {c |}{col 28}{res}{space 2} 2.349214{col 40}{space 2} 4.917079{col 51}{space 1}    0.48{col 60}{space 3}0.633{col 68}{space 4}-7.288085{col 81}{space 3} 11.98651
{txt}{space 23}20  {c |}{col 28}{res}{space 2} 3.953829{col 40}{space 2}  1.02425{col 51}{space 1}    3.86{col 60}{space 3}0.000{col 68}{space 4} 1.946337{col 81}{space 3} 5.961322
{txt}{space 23}21  {c |}{col 28}{res}{space 2} 3.104278{col 40}{space 2} .9479144{col 51}{space 1}    3.27{col 60}{space 3}0.001{col 68}{space 4}   1.2464{col 81}{space 3} 4.962156
{txt}{space 23}22  {c |}{col 28}{res}{space 2} 1.492521{col 40}{space 2}  2.55631{col 51}{space 1}    0.58{col 60}{space 3}0.559{col 68}{space 4}-3.517755{col 81}{space 3} 6.502797
{txt}{space 23}23  {c |}{col 28}{res}{space 2} 2.746427{col 40}{space 2} 2.058051{col 51}{space 1}    1.33{col 60}{space 3}0.182{col 68}{space 4}-1.287279{col 81}{space 3} 6.780134
{txt}{space 23}24  {c |}{col 28}{res}{space 2} 1.283145{col 40}{space 2} 2.997847{col 51}{space 1}    0.43{col 60}{space 3}0.669{col 68}{space 4}-4.592528{col 81}{space 3} 7.158818
{txt}{space 23}25  {c |}{col 28}{res}{space 2}  .993097{col 40}{space 2}  2.70796{col 51}{space 1}    0.37{col 60}{space 3}0.714{col 68}{space 4}-4.314407{col 81}{space 3} 6.300601
{txt}{space 23}26  {c |}{col 28}{res}{space 2} .6716305{col 40}{space 2} 4.256087{col 51}{space 1}    0.16{col 60}{space 3}0.875{col 68}{space 4}-7.670146{col 81}{space 3} 9.013407
{txt}{space 23}27  {c |}{col 28}{res}{space 2} 3.552979{col 40}{space 2}  1.46959{col 51}{space 1}    2.42{col 60}{space 3}0.016{col 68}{space 4} .6726361{col 81}{space 3} 6.433322
{txt}{space 23}28  {c |}{col 28}{res}{space 2}-.4319605{col 40}{space 2} 11.81087{col 51}{space 1}   -0.04{col 60}{space 3}0.971{col 68}{space 4}-23.58085{col 81}{space 3} 22.71693
{txt}{space 23}29  {c |}{col 28}{res}{space 2}-3.497821{col 40}{space 2} 21.13867{col 51}{space 1}   -0.17{col 60}{space 3}0.869{col 68}{space 4}-44.92885{col 81}{space 3} 37.93321
{txt}{space 23}30  {c |}{col 28}{res}{space 2}-5.858732{col 40}{space 2} 28.83155{col 51}{space 1}   -0.20{col 60}{space 3}0.839{col 68}{space 4}-62.36754{col 81}{space 3} 50.65007
{txt}{space 23}31  {c |}{col 28}{res}{space 2} 3.258767{col 40}{space 2} 3.510321{col 51}{space 1}    0.93{col 60}{space 3}0.353{col 68}{space 4}-3.621335{col 81}{space 3} 10.13887
{txt}{space 23}32  {c |}{col 28}{res}{space 2} 4.166669{col 40}{space 2} 1.420413{col 51}{space 1}    2.93{col 60}{space 3}0.003{col 68}{space 4}  1.38271{col 81}{space 3} 6.950628
{txt}{space 23}33  {c |}{col 28}{res}{space 2} 1.969421{col 40}{space 2} .7663074{col 51}{space 1}    2.57{col 60}{space 3}0.010{col 68}{space 4} .4674866{col 81}{space 3} 3.471356
{txt}{space 23}34  {c |}{col 28}{res}{space 2} 2.021696{col 40}{space 2} 2.821103{col 51}{space 1}    0.72{col 60}{space 3}0.474{col 68}{space 4}-3.507565{col 81}{space 3} 7.550956
{txt}{space 23}35  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}36  {c |}{col 28}{res}{space 2} 4.225193{col 40}{space 2} 2.271482{col 51}{space 1}    1.86{col 60}{space 3}0.063{col 68}{space 4}-.2268301{col 81}{space 3} 8.677215
{txt}{space 23}37  {c |}{col 28}{res}{space 2} 3.022456{col 40}{space 2} 1.526663{col 51}{space 1}    1.98{col 60}{space 3}0.048{col 68}{space 4} .0302517{col 81}{space 3}  6.01466
{txt}{space 23}38  {c |}{col 28}{res}{space 2} 3.865736{col 40}{space 2} 1.220513{col 51}{space 1}    3.17{col 60}{space 3}0.002{col 68}{space 4} 1.473574{col 81}{space 3} 6.257898
{txt}{space 23}39  {c |}{col 28}{res}{space 2} 4.189212{col 40}{space 2} 1.123405{col 51}{space 1}    3.73{col 60}{space 3}0.000{col 68}{space 4} 1.987378{col 81}{space 3} 6.391046
{txt}{space 23}40  {c |}{col 28}{res}{space 2} 3.481963{col 40}{space 2} 1.603648{col 51}{space 1}    2.17{col 60}{space 3}0.030{col 68}{space 4} .3388706{col 81}{space 3} 6.625055
{txt}{space 23}41  {c |}{col 28}{res}{space 2} 2.884877{col 40}{space 2} 1.057651{col 51}{space 1}    2.73{col 60}{space 3}0.006{col 68}{space 4} .8119197{col 81}{space 3} 4.957835
{txt}{space 23}42  {c |}{col 28}{res}{space 2} .6487917{col 40}{space 2} 1.706651{col 51}{space 1}    0.38{col 60}{space 3}0.704{col 68}{space 4}-2.696183{col 81}{space 3} 3.993766
{txt}{space 23}43  {c |}{col 28}{res}{space 2} 3.234713{col 40}{space 2} 1.709231{col 51}{space 1}    1.89{col 60}{space 3}0.058{col 68}{space 4}-.1153184{col 81}{space 3} 6.584744
{txt}{space 23}44  {c |}{col 28}{res}{space 2} 2.013223{col 40}{space 2} 1.411775{col 51}{space 1}    1.43{col 60}{space 3}0.154{col 68}{space 4}-.7538044{col 81}{space 3} 4.780251
{txt}{space 23}45  {c |}{col 28}{res}{space 2} 3.682248{col 40}{space 2} 1.295266{col 51}{space 1}    2.84{col 60}{space 3}0.004{col 68}{space 4} 1.143574{col 81}{space 3} 6.220921
{txt}{space 23}46  {c |}{col 28}{res}{space 2} 1.904805{col 40}{space 2} 1.136287{col 51}{space 1}    1.68{col 60}{space 3}0.094{col 68}{space 4}-.3222775{col 81}{space 3} 4.131887
{txt}{space 23}47  {c |}{col 28}{res}{space 2} 4.194001{col 40}{space 2} 1.794751{col 51}{space 1}    2.34{col 60}{space 3}0.019{col 68}{space 4} .6763538{col 81}{space 3} 7.711648
{txt}{space 23}48  {c |}{col 28}{res}{space 2} 2.680992{col 40}{space 2}  .947365{col 51}{space 1}    2.83{col 60}{space 3}0.005{col 68}{space 4} .8241903{col 81}{space 3} 4.537793
{txt}{space 23}49  {c |}{col 28}{res}{space 2} 2.636969{col 40}{space 2} 1.804814{col 51}{space 1}    1.46{col 60}{space 3}0.144{col 68}{space 4} -.900401{col 81}{space 3} 6.174339
{txt}{space 23}50  {c |}{col 28}{res}{space 2} .6225237{col 40}{space 2} 1.215541{col 51}{space 1}    0.51{col 60}{space 3}0.609{col 68}{space 4}-1.759892{col 81}{space 3}  3.00494
{txt}{space 23}51  {c |}{col 28}{res}{space 2} 2.477887{col 40}{space 2} .9586587{col 51}{space 1}    2.58{col 60}{space 3}0.010{col 68}{space 4} .5989503{col 81}{space 3} 4.356824
{txt}{space 23}52  {c |}{col 28}{res}{space 2}  1.47336{col 40}{space 2} 1.561801{col 51}{space 1}    0.94{col 60}{space 3}0.345{col 68}{space 4}-1.587714{col 81}{space 3} 4.534434
{txt}{space 23}53  {c |}{col 28}{res}{space 2} .2153795{col 40}{space 2} .9074722{col 51}{space 1}    0.24{col 60}{space 3}0.812{col 68}{space 4}-1.563233{col 81}{space 3} 1.993992
{txt}{space 23}54  {c |}{col 28}{res}{space 2} 1.051982{col 40}{space 2} 1.722811{col 51}{space 1}    0.61{col 60}{space 3}0.541{col 68}{space 4}-2.324666{col 81}{space 3}  4.42863
{txt}{space 23}55  {c |}{col 28}{res}{space 2} .2562375{col 40}{space 2} 1.066511{col 51}{space 1}    0.24{col 60}{space 3}0.810{col 68}{space 4}-1.834086{col 81}{space 3} 2.346561
{txt}{space 23}56  {c |}{col 28}{res}{space 2} .7821574{col 40}{space 2} 1.004852{col 51}{space 1}    0.78{col 60}{space 3}0.436{col 68}{space 4}-1.187315{col 81}{space 3}  2.75163
{txt}{space 23}57  {c |}{col 28}{res}{space 2} 2.435703{col 40}{space 2} .9515325{col 51}{space 1}    2.56{col 60}{space 3}0.010{col 68}{space 4} .5707334{col 81}{space 3} 4.300672
{txt}{space 23}58  {c |}{col 28}{res}{space 2} .0735034{col 40}{space 2} 1.740147{col 51}{space 1}    0.04{col 60}{space 3}0.966{col 68}{space 4}-3.337122{col 81}{space 3} 3.484129
{txt}{space 23}59  {c |}{col 28}{res}{space 2} .4157521{col 40}{space 2} .8609869{col 51}{space 1}    0.48{col 60}{space 3}0.629{col 68}{space 4}-1.271751{col 81}{space 3} 2.103255
{txt}{space 23}60  {c |}{col 28}{res}{space 2}-.1392209{col 40}{space 2} .6683942{col 51}{space 1}   -0.21{col 60}{space 3}0.835{col 68}{space 4}-1.449249{col 81}{space 3} 1.170808
{txt}{space 23}61  {c |}{col 28}{res}{space 2}-.4034152{col 40}{space 2} .6145404{col 51}{space 1}   -0.66{col 60}{space 3}0.512{col 68}{space 4}-1.607892{col 81}{space 3} .8010618
{txt}{space 23}62  {c |}{col 28}{res}{space 2} .6209944{col 40}{space 2} 1.862741{col 51}{space 1}    0.33{col 60}{space 3}0.739{col 68}{space 4} -3.02991{col 81}{space 3} 4.271899
{txt}{space 23}63  {c |}{col 28}{res}{space 2}-.0862269{col 40}{space 2} .6184043{col 51}{space 1}   -0.14{col 60}{space 3}0.889{col 68}{space 4}-1.298277{col 81}{space 3} 1.125823
{txt}{space 23}64  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}65  {c |}{col 28}{res}{space 2} .6010373{col 40}{space 2} .7015288{col 51}{space 1}    0.86{col 60}{space 3}0.392{col 68}{space 4}-.7739338{col 81}{space 3} 1.976008
{txt}{space 23}66  {c |}{col 28}{res}{space 2}-1.155794{col 40}{space 2} 1.292307{col 51}{space 1}   -0.89{col 60}{space 3}0.371{col 68}{space 4}-3.688669{col 81}{space 3} 1.377082
{txt}{space 23}67  {c |}{col 28}{res}{space 2}  .143961{col 40}{space 2} .8644435{col 51}{space 1}    0.17{col 60}{space 3}0.868{col 68}{space 4}-1.550317{col 81}{space 3} 1.838239
{txt}{space 23}68  {c |}{col 28}{res}{space 2} -1.01216{col 40}{space 2} .6638386{col 51}{space 1}   -1.52{col 60}{space 3}0.127{col 68}{space 4} -2.31326{col 81}{space 3} .2889396
{txt}{space 23}69  {c |}{col 28}{res}{space 2}-.0399183{col 40}{space 2} .6363503{col 51}{space 1}   -0.06{col 60}{space 3}0.950{col 68}{space 4}-1.287142{col 81}{space 3} 1.207305
{txt}{space 23}70  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}71  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}72  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}73  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}74  {c |}{col 28}{res}{space 2} .1860372{col 40}{space 2} .7069088{col 51}{space 1}    0.26{col 60}{space 3}0.792{col 68}{space 4}-1.199479{col 81}{space 3} 1.571553
{txt}{space 23}75  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2} 5.909728{col 40}{space 2}  2.84456{col 51}{space 1}    2.08{col 60}{space 3}0.038{col 68}{space 4} .3344927{col 81}{space 3} 11.48496
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 21}/ln_r {c |}{col 28}{res}{space 2} .2981039{col 40}{space 2} .1949873{col 68}{space 4}-.0840641{col 81}{space 3} .6802719
{txt}{space 21}/ln_s {c |}{col 28}{res}{space 2} 2.504293{col 40}{space 2} .2717669{col 68}{space 4}  1.97164{col 81}{space 3} 3.036946
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                         r {c |}{col 28}{res}{space 2} 1.347302{col 40}{space 2} .2627067{col 68}{space 4} .9193723{col 81}{space 3} 1.974414
{txt}                         s {c |}{col 28}{res}{space 2} 12.23491{col 40}{space 2} 3.325043{col 68}{space 4} 7.182444{col 81}{space 3} 20.84151
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{txt}LR test vs. pooled: {help j_chibar##|_new:chibar2(01) = }{res}187.28{col 56}{txt}Prob >= chibar2 = {res}0.000
{txt}
{com}. 
. xtnbreg total_criminal_cases lag_criminal_cases ln_cum_maoist_victims peoples_govt_active ln_pop percent_votes1991_1999_GAP     ln_newNGOs      ///
> litrate_1991_2001_GAP road_density_GAP year2002 hilli_region mountain_region region_east region_mid region_west region_farwest i.sno if year>1995 & year<2007 
{txt}note: 35.sno omitted because of collinearity
note: 64.sno omitted because of collinearity
note: 70.sno omitted because of collinearity
note: 71.sno omitted because of collinearity
note: 72.sno omitted because of collinearity
note: 73.sno omitted because of collinearity
note: 75.sno omitted because of collinearity

Fitting negative binomial (constant dispersion) model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1183551.4}  
Iteration 1:{space 3}log likelihood = {res:-341437.18}  
Iteration 2:{space 3}log likelihood = {res:-170971.36}  
Iteration 3:{space 3}log likelihood = {res:-44098.409}  
Iteration 4:{space 3}log likelihood = {res:-13931.681}  
Iteration 5:{space 3}log likelihood = {res:-13139.433}  
Iteration 6:{space 3}log likelihood = {res:-13134.764}  
Iteration 7:{space 3}log likelihood = {res:-13134.764}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-93080.224}  
Iteration 1:{space 3}log likelihood = {res:-12995.468}  
Iteration 2:{space 3}log likelihood = {res:-6279.1285}  (backed up)
Iteration 3:{space 3}log likelihood = {res: -5681.269}  
Iteration 4:{space 3}log likelihood = {res:-5675.3875}  
Iteration 5:{space 3}log likelihood = {res:-5675.3663}  
Iteration 6:{space 3}log likelihood = {res:-5675.3663}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-5675.3663}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-5542.9579}  (not concave)
Iteration 2:{space 3}log likelihood = {res:-5256.3303}  (not concave)
Iteration 3:{space 3}log likelihood = {res:-4974.2379}  
Iteration 4:{space 3}log likelihood = {res:-4780.4775}  
Iteration 5:{space 3}log likelihood = {res:-4688.1082}  
Iteration 6:{space 3}log likelihood = {res:-4650.3761}  
Iteration 7:{space 3}log likelihood = {res:-4650.0726}  
Iteration 8:{space 3}log likelihood = {res:-4650.0723}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-8710.0799}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-6559.2459}  (not concave)
Iteration 2:{space 3}log likelihood = {res:-4814.8189}  (not concave)
Iteration 3:{space 3}log likelihood = {res:-4737.7337}  
Iteration 4:{space 3}log likelihood = {res:-4634.9422}  
Iteration 5:{space 3}log likelihood = {res:-4603.3982}  
Iteration 6:{space 3}log likelihood = {res:-4574.1961}  
Iteration 7:{space 3}log likelihood = {res:-4562.0394}  
Iteration 8:{space 3}log likelihood = {res: -4559.847}  
Iteration 9:{space 3}log likelihood = {res:   -4559.8}  
Iteration 10:{space 2}log likelihood = {res:   -4559.8}  
{res}
{txt}Random-effects negative binomial regression{col 49}Number of obs{col 67}={col 69}{res}       825
{txt}Group variable: {res}sno{col 49}{txt}Number of groups{col 67}={col 69}{res}        75

{txt}Random effects u_i ~ {res}Beta{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        11
{txt}{col 63}avg{col 67}={col 69}{res}      11.0
{txt}{col 63}max{col 67}={col 69}{res}        11

{txt}{col 49}Wald chi2({res}82{txt}){col 67}={col 70}{res}  2331.36
{txt}Log likelihood  = {res}   -4559.8{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      total_criminal_cases{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}lag_criminal_cases {c |}{col 28}{res}{space 2} .0001887{col 40}{space 2} .0000721{col 51}{space 1}    2.62{col 60}{space 3}0.009{col 68}{space 4} .0000475{col 81}{space 3} .0003299
{txt}{space 5}ln_cum_maoist_victims {c |}{col 28}{res}{space 2}-.0993237{col 40}{space 2} .0142363{col 51}{space 1}   -6.98{col 60}{space 3}0.000{col 68}{space 4}-.1272263{col 81}{space 3}-.0714212
{txt}{space 7}peoples_govt_active {c |}{col 28}{res}{space 2}-.1817485{col 40}{space 2} .0350563{col 51}{space 1}   -5.18{col 60}{space 3}0.000{col 68}{space 4}-.2504576{col 81}{space 3}-.1130393
{txt}{space 20}ln_pop {c |}{col 28}{res}{space 2}-.4882038{col 40}{space 2} .2038096{col 51}{space 1}   -2.40{col 60}{space 3}0.017{col 68}{space 4}-.8876632{col 81}{space 3}-.0887444
{txt}percent_votes1991_1999_GAP {c |}{col 28}{res}{space 2} .0125855{col 40}{space 2} .0044936{col 51}{space 1}    2.80{col 60}{space 3}0.005{col 68}{space 4} .0037783{col 81}{space 3} .0213928
{txt}{space 16}ln_newNGOs {c |}{col 28}{res}{space 2} .0135092{col 40}{space 2} .0213885{col 51}{space 1}    0.63{col 60}{space 3}0.528{col 68}{space 4}-.0284115{col 81}{space 3} .0554299
{txt}{space 5}litrate_1991_2001_GAP {c |}{col 28}{res}{space 2} .0144425{col 40}{space 2} .0041762{col 51}{space 1}    3.46{col 60}{space 3}0.001{col 68}{space 4} .0062572{col 81}{space 3} .0226278
{txt}{space 10}road_density_GAP {c |}{col 28}{res}{space 2} 4.079756{col 40}{space 2} 14.60724{col 51}{space 1}    0.28{col 60}{space 3}0.780{col 68}{space 4}-24.54991{col 81}{space 3} 32.70942
{txt}{space 18}year2002 {c |}{col 28}{res}{space 2}-.0130609{col 40}{space 2} .0388945{col 51}{space 1}   -0.34{col 60}{space 3}0.737{col 68}{space 4}-.0892927{col 81}{space 3} .0631708
{txt}{space 14}hilli_region {c |}{col 28}{res}{space 2}-1.871047{col 40}{space 2}  .586394{col 51}{space 1}   -3.19{col 60}{space 3}0.001{col 68}{space 4}-3.020358{col 81}{space 3} -.721736
{txt}{space 11}mountain_region {c |}{col 28}{res}{space 2}-1.595701{col 40}{space 2}  1.88342{col 51}{space 1}   -0.85{col 60}{space 3}0.397{col 68}{space 4}-5.287135{col 81}{space 3} 2.095734
{txt}{space 15}region_east {c |}{col 28}{res}{space 2}-1.973804{col 40}{space 2}  3.68511{col 51}{space 1}   -0.54{col 60}{space 3}0.592{col 68}{space 4}-9.196487{col 81}{space 3} 5.248879
{txt}{space 16}region_mid {c |}{col 28}{res}{space 2}-1.811818{col 40}{space 2} 1.248205{col 51}{space 1}   -1.45{col 60}{space 3}0.147{col 68}{space 4}-4.258255{col 81}{space 3} .6346182
{txt}{space 15}region_west {c |}{col 28}{res}{space 2}-2.162391{col 40}{space 2} .7143502{col 51}{space 1}   -3.03{col 60}{space 3}0.002{col 68}{space 4}-3.562492{col 81}{space 3}-.7622906
{txt}{space 12}region_farwest {c |}{col 28}{res}{space 2} 1.039057{col 40}{space 2} .7354436{col 51}{space 1}    1.41{col 60}{space 3}0.158{col 68}{space 4}-.4023861{col 81}{space 3}   2.4805
{txt}{space 26} {c |}
{space 23}sno {c |}
{space 24}2  {c |}{col 28}{res}{space 2} 2.781963{col 40}{space 2} 2.209012{col 51}{space 1}    1.26{col 60}{space 3}0.208{col 68}{space 4} -1.54762{col 81}{space 3} 7.111546
{txt}{space 24}3  {c |}{col 28}{res}{space 2} 3.251875{col 40}{space 2} 3.316609{col 51}{space 1}    0.98{col 60}{space 3}0.327{col 68}{space 4} -3.24856{col 81}{space 3}  9.75231
{txt}{space 24}4  {c |}{col 28}{res}{space 2}  3.47312{col 40}{space 2} 3.564898{col 51}{space 1}    0.97{col 60}{space 3}0.330{col 68}{space 4}-3.513952{col 81}{space 3} 10.46019
{txt}{space 24}5  {c |}{col 28}{res}{space 2} .0341626{col 40}{space 2} .5881482{col 51}{space 1}    0.06{col 60}{space 3}0.954{col 68}{space 4}-1.118587{col 81}{space 3} 1.186912
{txt}{space 24}6  {c |}{col 28}{res}{space 2} 2.725587{col 40}{space 2} .6126583{col 51}{space 1}    4.45{col 60}{space 3}0.000{col 68}{space 4} 1.524799{col 81}{space 3} 3.926376
{txt}{space 24}7  {c |}{col 28}{res}{space 2} 3.390647{col 40}{space 2} 2.231132{col 51}{space 1}    1.52{col 60}{space 3}0.129{col 68}{space 4}-.9822913{col 81}{space 3} 7.763586
{txt}{space 24}8  {c |}{col 28}{res}{space 2} 2.438884{col 40}{space 2} 4.328906{col 51}{space 1}    0.56{col 60}{space 3}0.573{col 68}{space 4}-6.045615{col 81}{space 3} 10.92338
{txt}{space 24}9  {c |}{col 28}{res}{space 2} 3.308728{col 40}{space 2} 5.303636{col 51}{space 1}    0.62{col 60}{space 3}0.533{col 68}{space 4}-7.086207{col 81}{space 3} 13.70366
{txt}{space 23}10  {c |}{col 28}{res}{space 2} 3.709997{col 40}{space 2} 3.557481{col 51}{space 1}    1.04{col 60}{space 3}0.297{col 68}{space 4}-3.262538{col 81}{space 3} 10.68253
{txt}{space 23}11  {c |}{col 28}{res}{space 2}  3.52698{col 40}{space 2} 2.210149{col 51}{space 1}    1.60{col 60}{space 3}0.111{col 68}{space 4}-.8048317{col 81}{space 3} 7.858792
{txt}{space 23}12  {c |}{col 28}{res}{space 2} 3.655009{col 40}{space 2} 1.836124{col 51}{space 1}    1.99{col 60}{space 3}0.047{col 68}{space 4} .0562717{col 81}{space 3} 7.253747
{txt}{space 23}13  {c |}{col 28}{res}{space 2} 3.132439{col 40}{space 2} 3.918531{col 51}{space 1}    0.80{col 60}{space 3}0.424{col 68}{space 4} -4.54774{col 81}{space 3} 10.81262
{txt}{space 23}14  {c |}{col 28}{res}{space 2} 3.038209{col 40}{space 2} 5.342361{col 51}{space 1}    0.57{col 60}{space 3}0.570{col 68}{space 4}-7.432626{col 81}{space 3} 13.50904
{txt}{space 23}15  {c |}{col 28}{res}{space 2} 3.158076{col 40}{space 2} 4.779054{col 51}{space 1}    0.66{col 60}{space 3}0.509{col 68}{space 4}-6.208698{col 81}{space 3} 12.52485
{txt}{space 23}16  {c |}{col 28}{res}{space 2} 2.091024{col 40}{space 2} 3.693374{col 51}{space 1}    0.57{col 60}{space 3}0.571{col 68}{space 4}-5.147856{col 81}{space 3} 9.329905
{txt}{space 23}17  {c |}{col 28}{res}{space 2}-2.691023{col 40}{space 2} 7.474559{col 51}{space 1}   -0.36{col 60}{space 3}0.719{col 68}{space 4}-17.34089{col 81}{space 3} 11.95884
{txt}{space 23}18  {c |}{col 28}{res}{space 2} 1.320288{col 40}{space 2} 5.849251{col 51}{space 1}    0.23{col 60}{space 3}0.821{col 68}{space 4}-10.14403{col 81}{space 3} 12.78461
{txt}{space 23}19  {c |}{col 28}{res}{space 2} 2.514041{col 40}{space 2} 4.961127{col 51}{space 1}    0.51{col 60}{space 3}0.612{col 68}{space 4}-7.209589{col 81}{space 3} 12.23767
{txt}{space 23}20  {c |}{col 28}{res}{space 2} 4.673473{col 40}{space 2} 1.030619{col 51}{space 1}    4.53{col 60}{space 3}0.000{col 68}{space 4} 2.653497{col 81}{space 3} 6.693448
{txt}{space 23}21  {c |}{col 28}{res}{space 2} 3.740711{col 40}{space 2} .9523467{col 51}{space 1}    3.93{col 60}{space 3}0.000{col 68}{space 4} 1.874146{col 81}{space 3} 5.607277
{txt}{space 23}22  {c |}{col 28}{res}{space 2} 2.316537{col 40}{space 2} 2.571009{col 51}{space 1}    0.90{col 60}{space 3}0.368{col 68}{space 4}-2.722548{col 81}{space 3} 7.355623
{txt}{space 23}23  {c |}{col 28}{res}{space 2}  3.12874{col 40}{space 2} 2.071003{col 51}{space 1}    1.51{col 60}{space 3}0.131{col 68}{space 4}-.9303513{col 81}{space 3} 7.187832
{txt}{space 23}24  {c |}{col 28}{res}{space 2} 1.835995{col 40}{space 2}  3.02201{col 51}{space 1}    0.61{col 60}{space 3}0.543{col 68}{space 4}-4.087035{col 81}{space 3} 7.759025
{txt}{space 23}25  {c |}{col 28}{res}{space 2} 1.113768{col 40}{space 2} 2.725446{col 51}{space 1}    0.41{col 60}{space 3}0.683{col 68}{space 4}-4.228007{col 81}{space 3} 6.455544
{txt}{space 23}26  {c |}{col 28}{res}{space 2} 1.180808{col 40}{space 2} 4.304888{col 51}{space 1}    0.27{col 60}{space 3}0.784{col 68}{space 4}-7.256617{col 81}{space 3} 9.618233
{txt}{space 23}27  {c |}{col 28}{res}{space 2} 4.504832{col 40}{space 2} 1.470535{col 51}{space 1}    3.06{col 60}{space 3}0.002{col 68}{space 4} 1.622636{col 81}{space 3} 7.387028
{txt}{space 23}28  {c |}{col 28}{res}{space 2} -.063035{col 40}{space 2} 11.92605{col 51}{space 1}   -0.01{col 60}{space 3}0.996{col 68}{space 4}-23.43767{col 81}{space 3}  23.3116
{txt}{space 23}29  {c |}{col 28}{res}{space 2}-2.987182{col 40}{space 2}  21.3635{col 51}{space 1}   -0.14{col 60}{space 3}0.889{col 68}{space 4}-44.85888{col 81}{space 3} 38.88452
{txt}{space 23}30  {c |}{col 28}{res}{space 2}-5.190925{col 40}{space 2} 29.13436{col 51}{space 1}   -0.18{col 60}{space 3}0.859{col 68}{space 4}-62.29322{col 81}{space 3} 51.91137
{txt}{space 23}31  {c |}{col 28}{res}{space 2} 3.973721{col 40}{space 2} 3.538454{col 51}{space 1}    1.12{col 60}{space 3}0.261{col 68}{space 4}-2.961521{col 81}{space 3} 10.90896
{txt}{space 23}32  {c |}{col 28}{res}{space 2} 5.138421{col 40}{space 2} 1.424354{col 51}{space 1}    3.61{col 60}{space 3}0.000{col 68}{space 4}  2.34674{col 81}{space 3} 7.930103
{txt}{space 23}33  {c |}{col 28}{res}{space 2} 2.715648{col 40}{space 2} .7604605{col 51}{space 1}    3.57{col 60}{space 3}0.000{col 68}{space 4} 1.225173{col 81}{space 3} 4.206124
{txt}{space 23}34  {c |}{col 28}{res}{space 2} 2.518701{col 40}{space 2} 2.836357{col 51}{space 1}    0.89{col 60}{space 3}0.375{col 68}{space 4}-3.040456{col 81}{space 3} 8.077858
{txt}{space 23}35  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}36  {c |}{col 28}{res}{space 2} 4.842494{col 40}{space 2} 2.282823{col 51}{space 1}    2.12{col 60}{space 3}0.034{col 68}{space 4}  .368243{col 81}{space 3} 9.316744
{txt}{space 23}37  {c |}{col 28}{res}{space 2} 3.552598{col 40}{space 2} 1.553712{col 51}{space 1}    2.29{col 60}{space 3}0.022{col 68}{space 4} .5073784{col 81}{space 3} 6.597818
{txt}{space 23}38  {c |}{col 28}{res}{space 2} 4.210818{col 40}{space 2} 1.238229{col 51}{space 1}    3.40{col 60}{space 3}0.001{col 68}{space 4} 1.783933{col 81}{space 3} 6.637703
{txt}{space 23}39  {c |}{col 28}{res}{space 2}  5.14573{col 40}{space 2} 1.123073{col 51}{space 1}    4.58{col 60}{space 3}0.000{col 68}{space 4} 2.944547{col 81}{space 3} 7.346913
{txt}{space 23}40  {c |}{col 28}{res}{space 2} 4.109852{col 40}{space 2}  1.60571{col 51}{space 1}    2.56{col 60}{space 3}0.010{col 68}{space 4} .9627187{col 81}{space 3} 7.256985
{txt}{space 23}41  {c |}{col 28}{res}{space 2} 3.113127{col 40}{space 2}  1.07985{col 51}{space 1}    2.88{col 60}{space 3}0.004{col 68}{space 4} .9966592{col 81}{space 3} 5.229594
{txt}{space 23}42  {c |}{col 28}{res}{space 2} 1.847482{col 40}{space 2} 1.703691{col 51}{space 1}    1.08{col 60}{space 3}0.278{col 68}{space 4}-1.491692{col 81}{space 3} 5.186656
{txt}{space 23}43  {c |}{col 28}{res}{space 2} 3.736021{col 40}{space 2} 1.710585{col 51}{space 1}    2.18{col 60}{space 3}0.029{col 68}{space 4} .3833366{col 81}{space 3} 7.088706
{txt}{space 23}44  {c |}{col 28}{res}{space 2} 2.810315{col 40}{space 2} 1.412538{col 51}{space 1}    1.99{col 60}{space 3}0.047{col 68}{space 4} .0417914{col 81}{space 3}  5.57884
{txt}{space 23}45  {c |}{col 28}{res}{space 2} 4.280553{col 40}{space 2} 1.297722{col 51}{space 1}    3.30{col 60}{space 3}0.001{col 68}{space 4} 1.737065{col 81}{space 3} 6.824042
{txt}{space 23}46  {c |}{col 28}{res}{space 2} 2.646291{col 40}{space 2} 1.132624{col 51}{space 1}    2.34{col 60}{space 3}0.019{col 68}{space 4} .4263893{col 81}{space 3} 4.866193
{txt}{space 23}47  {c |}{col 28}{res}{space 2} 4.724011{col 40}{space 2} 1.825501{col 51}{space 1}    2.59{col 60}{space 3}0.010{col 68}{space 4} 1.146095{col 81}{space 3} 8.301928
{txt}{space 23}48  {c |}{col 28}{res}{space 2} 3.181243{col 40}{space 2} .9552131{col 51}{space 1}    3.33{col 60}{space 3}0.001{col 68}{space 4}  1.30906{col 81}{space 3} 5.053426
{txt}{space 23}49  {c |}{col 28}{res}{space 2} 2.936967{col 40}{space 2} 1.835122{col 51}{space 1}    1.60{col 60}{space 3}0.110{col 68}{space 4}-.6598064{col 81}{space 3}  6.53374
{txt}{space 23}50  {c |}{col 28}{res}{space 2} .7165218{col 40}{space 2} 1.221643{col 51}{space 1}    0.59{col 60}{space 3}0.558{col 68}{space 4}-1.677854{col 81}{space 3} 3.110898
{txt}{space 23}51  {c |}{col 28}{res}{space 2} 2.617342{col 40}{space 2} .9604895{col 51}{space 1}    2.73{col 60}{space 3}0.006{col 68}{space 4} .7348166{col 81}{space 3} 4.499866
{txt}{space 23}52  {c |}{col 28}{res}{space 2} 1.555556{col 40}{space 2} 1.593604{col 51}{space 1}    0.98{col 60}{space 3}0.329{col 68}{space 4} -1.56785{col 81}{space 3} 4.678962
{txt}{space 23}53  {c |}{col 28}{res}{space 2} .3653859{col 40}{space 2} .9128964{col 51}{space 1}    0.40{col 60}{space 3}0.689{col 68}{space 4}-1.423858{col 81}{space 3}  2.15463
{txt}{space 23}54  {c |}{col 28}{res}{space 2} 1.140713{col 40}{space 2} 1.753908{col 51}{space 1}    0.65{col 60}{space 3}0.515{col 68}{space 4}-2.296884{col 81}{space 3}  4.57831
{txt}{space 23}55  {c |}{col 28}{res}{space 2} .1681495{col 40}{space 2} 1.073951{col 51}{space 1}    0.16{col 60}{space 3}0.876{col 68}{space 4}-1.936756{col 81}{space 3} 2.273055
{txt}{space 23}56  {c |}{col 28}{res}{space 2} 1.136628{col 40}{space 2} 1.013978{col 51}{space 1}    1.12{col 60}{space 3}0.262{col 68}{space 4}-.8507318{col 81}{space 3} 3.123988
{txt}{space 23}57  {c |}{col 28}{res}{space 2} 2.825757{col 40}{space 2} .9514989{col 51}{space 1}    2.97{col 60}{space 3}0.003{col 68}{space 4} .9608537{col 81}{space 3} 4.690661
{txt}{space 23}58  {c |}{col 28}{res}{space 2} .2376091{col 40}{space 2} 1.766956{col 51}{space 1}    0.13{col 60}{space 3}0.893{col 68}{space 4}-3.225562{col 81}{space 3}  3.70078
{txt}{space 23}59  {c |}{col 28}{res}{space 2} .7687707{col 40}{space 2} .8674374{col 51}{space 1}    0.89{col 60}{space 3}0.375{col 68}{space 4}-.9313753{col 81}{space 3} 2.468917
{txt}{space 23}60  {c |}{col 28}{res}{space 2}-.2999633{col 40}{space 2} .6709886{col 51}{space 1}   -0.45{col 60}{space 3}0.655{col 68}{space 4}-1.615077{col 81}{space 3}  1.01515
{txt}{space 23}61  {c |}{col 28}{res}{space 2}-.2515729{col 40}{space 2} .6213661{col 51}{space 1}   -0.40{col 60}{space 3}0.686{col 68}{space 4}-1.469428{col 81}{space 3} .9662824
{txt}{space 23}62  {c |}{col 28}{res}{space 2} .6169511{col 40}{space 2} 1.893567{col 51}{space 1}    0.33{col 60}{space 3}0.745{col 68}{space 4}-3.094371{col 81}{space 3} 4.328273
{txt}{space 23}63  {c |}{col 28}{res}{space 2}-.3236709{col 40}{space 2} .6197389{col 51}{space 1}   -0.52{col 60}{space 3}0.601{col 68}{space 4}-1.538337{col 81}{space 3} .8909951
{txt}{space 23}64  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}65  {c |}{col 28}{res}{space 2} .9622067{col 40}{space 2} .7104525{col 51}{space 1}    1.35{col 60}{space 3}0.176{col 68}{space 4}-.4302546{col 81}{space 3} 2.354668
{txt}{space 23}66  {c |}{col 28}{res}{space 2}-.9001581{col 40}{space 2} 1.313384{col 51}{space 1}   -0.69{col 60}{space 3}0.493{col 68}{space 4}-3.474344{col 81}{space 3} 1.674027
{txt}{space 23}67  {c |}{col 28}{res}{space 2} .3551483{col 40}{space 2}  .880453{col 51}{space 1}    0.40{col 60}{space 3}0.687{col 68}{space 4}-1.370508{col 81}{space 3} 2.080805
{txt}{space 23}68  {c |}{col 28}{res}{space 2}-.9857108{col 40}{space 2} .6658055{col 51}{space 1}   -1.48{col 60}{space 3}0.139{col 68}{space 4}-2.290666{col 81}{space 3}  .319244
{txt}{space 23}69  {c |}{col 28}{res}{space 2} .0168563{col 40}{space 2} .6364941{col 51}{space 1}    0.03{col 60}{space 3}0.979{col 68}{space 4}-1.230649{col 81}{space 3} 1.264362
{txt}{space 23}70  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}71  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}72  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}73  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}74  {c |}{col 28}{res}{space 2}-.2058888{col 40}{space 2} .7136889{col 51}{space 1}   -0.29{col 60}{space 3}0.773{col 68}{space 4}-1.604693{col 81}{space 3} 1.192916
{txt}{space 23}75  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2}  9.50702{col 40}{space 2} 2.847309{col 51}{space 1}    3.34{col 60}{space 3}0.001{col 68}{space 4} 3.926396{col 81}{space 3} 15.08764
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 21}/ln_r {c |}{col 28}{res}{space 2} .2527523{col 40}{space 2} .1966311{col 68}{space 4}-.1326375{col 81}{space 3} .6381421
{txt}{space 21}/ln_s {c |}{col 28}{res}{space 2} 2.477759{col 40}{space 2} .2782734{col 68}{space 4} 1.932353{col 81}{space 3} 3.023165
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                         r {c |}{col 28}{res}{space 2} 1.287564{col 40}{space 2} .2531752{col 68}{space 4} .8757825{col 81}{space 3} 1.892961
{txt}                         s {c |}{col 28}{res}{space 2} 11.91454{col 40}{space 2} 3.315498{col 68}{space 4} 6.905743{col 81}{space 3} 20.55625
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{txt}LR test vs. pooled: {help j_chibar##|_new:chibar2(01) = }{res}180.54{col 56}{txt}Prob >= chibar2 = {res}0.000
{txt}
{com}. 
.  
. //Total Cases
. xtnbreg total_court_cases lag_total_cases ln_cum_state_victims peoples_govt_active ln_pop percent_votes1991_1999_GAP    ln_newNGOs      ///
> litrate_1991_2001_GAP road_density_GAP year2002 hilli_region mountain_region region_east region_mid region_west region_farwest i.sno if year>1995 & year<2007 
{txt}note: 35.sno omitted because of collinearity
note: 64.sno omitted because of collinearity
note: 70.sno omitted because of collinearity
note: 71.sno omitted because of collinearity
note: 72.sno omitted because of collinearity
note: 73.sno omitted because of collinearity
note: 75.sno omitted because of collinearity

Fitting negative binomial (constant dispersion) model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-2411222.2}  
Iteration 1:{space 3}log likelihood = {res:-959239.82}  
Iteration 2:{space 3}log likelihood = {res:-348752.09}  
Iteration 3:{space 3}log likelihood = {res:-36362.854}  
Iteration 4:{space 3}log likelihood = {res:-20398.253}  
Iteration 5:{space 3}log likelihood = {res:-20174.598}  
Iteration 6:{space 3}log likelihood = {res:-20174.551}  
Iteration 7:{space 3}log likelihood = {res:-20174.551}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-299668.31}  
Iteration 1:{space 3}log likelihood = {res:-17080.989}  
Iteration 2:{space 3}log likelihood = {res:-7903.8285}  (backed up)
Iteration 3:{space 3}log likelihood = {res:-6575.5695}  
Iteration 4:{space 3}log likelihood = {res:-6486.5743}  
Iteration 5:{space 3}log likelihood = {res:-6478.1043}  
Iteration 6:{space 3}log likelihood = {res:-6478.0828}  
Iteration 7:{space 3}log likelihood = {res:-6478.0828}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-6478.0828}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-6341.9243}  (not concave)
Iteration 2:{space 3}log likelihood = {res:-6132.7788}  (not concave)
Iteration 3:{space 3}log likelihood = {res:-5715.6727}  
Iteration 4:{space 3}log likelihood = {res:-5403.1509}  (backed up)
Iteration 5:{space 3}log likelihood = {res:-5232.3541}  
Iteration 6:{space 3}log likelihood = {res:-5155.5792}  
Iteration 7:{space 3}log likelihood = {res:-5154.8127}  
Iteration 8:{space 3}log likelihood = {res:-5154.8095}  
Iteration 9:{space 3}log likelihood = {res:-5154.8095}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-12401.919}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-6412.7483}  (not concave)
Iteration 2:{space 3}log likelihood = {res:-5558.6499}  (not concave)
Iteration 3:{space 3}log likelihood = {res: -5456.652}  (not concave)
Iteration 4:{space 3}log likelihood = {res:-5399.9117}  (not concave)
Iteration 5:{space 3}log likelihood = {res: -5369.806}  (not concave)
Iteration 6:{space 3}log likelihood = {res:-5356.6622}  (not concave)
Iteration 7:{space 3}log likelihood = {res:-5346.9925}  (not concave)
Iteration 8:{space 3}log likelihood = {res:-5302.1978}  
Iteration 9:{space 3}log likelihood = {res:-5224.9295}  
Iteration 10:{space 2}log likelihood = {res:-5195.8641}  
Iteration 11:{space 2}log likelihood = {res:-5193.1795}  
Iteration 12:{space 2}log likelihood = {res:-5187.5315}  
Iteration 13:{space 2}log likelihood = {res:-5187.3954}  
Iteration 14:{space 2}log likelihood = {res:-5187.3954}  
{res}
{txt}Random-effects negative binomial regression{col 49}Number of obs{col 67}={col 69}{res}       825
{txt}Group variable: {res}sno{col 49}{txt}Number of groups{col 67}={col 69}{res}        75

{txt}Random effects u_i ~ {res}Beta{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        11
{txt}{col 63}avg{col 67}={col 69}{res}      11.0
{txt}{col 63}max{col 67}={col 69}{res}        11

{txt}{col 49}Wald chi2({res}82{txt}){col 67}={col 70}{res}  2255.72
{txt}Log likelihood  = {res}-5187.3954{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         total_court_cases{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}lag_total_cases {c |}{col 28}{res}{space 2} .0000947{col 40}{space 2} .0000234{col 51}{space 1}    4.05{col 60}{space 3}0.000{col 68}{space 4} .0000489{col 81}{space 3} .0001405
{txt}{space 6}ln_cum_state_victims {c |}{col 28}{res}{space 2}-.0998136{col 40}{space 2} .0119899{col 51}{space 1}   -8.32{col 60}{space 3}0.000{col 68}{space 4}-.1233134{col 81}{space 3}-.0763138
{txt}{space 7}peoples_govt_active {c |}{col 28}{res}{space 2}-.2143959{col 40}{space 2}  .032118{col 51}{space 1}   -6.68{col 60}{space 3}0.000{col 68}{space 4}-.2773461{col 81}{space 3}-.1514457
{txt}{space 20}ln_pop {c |}{col 28}{res}{space 2} .2418288{col 40}{space 2} .2117661{col 51}{space 1}    1.14{col 60}{space 3}0.253{col 68}{space 4}-.1732251{col 81}{space 3} .6568827
{txt}percent_votes1991_1999_GAP {c |}{col 28}{res}{space 2} .0040983{col 40}{space 2} .0045416{col 51}{space 1}    0.90{col 60}{space 3}0.367{col 68}{space 4}-.0048031{col 81}{space 3} .0129998
{txt}{space 16}ln_newNGOs {c |}{col 28}{res}{space 2} .0123498{col 40}{space 2} .0202511{col 51}{space 1}    0.61{col 60}{space 3}0.542{col 68}{space 4}-.0273416{col 81}{space 3} .0520412
{txt}{space 5}litrate_1991_2001_GAP {c |}{col 28}{res}{space 2} .0067319{col 40}{space 2} .0036654{col 51}{space 1}    1.84{col 60}{space 3}0.066{col 68}{space 4}-.0004522{col 81}{space 3}  .013916
{txt}{space 10}road_density_GAP {c |}{col 28}{res}{space 2}-18.75502{col 40}{space 2}  13.6322{col 51}{space 1}   -1.38{col 60}{space 3}0.169{col 68}{space 4}-45.47365{col 81}{space 3} 7.963601
{txt}{space 18}year2002 {c |}{col 28}{res}{space 2} .0893819{col 40}{space 2}  .038939{col 51}{space 1}    2.30{col 60}{space 3}0.022{col 68}{space 4} .0130629{col 81}{space 3} .1657009
{txt}{space 14}hilli_region {c |}{col 28}{res}{space 2}-2.249966{col 40}{space 2} .5595072{col 51}{space 1}   -4.02{col 60}{space 3}0.000{col 68}{space 4} -3.34658{col 81}{space 3}-1.153352
{txt}{space 11}mountain_region {c |}{col 28}{res}{space 2}-4.028963{col 40}{space 2} 1.774005{col 51}{space 1}   -2.27{col 60}{space 3}0.023{col 68}{space 4}-7.505948{col 81}{space 3}-.5519769
{txt}{space 15}region_east {c |}{col 28}{res}{space 2} 4.853586{col 40}{space 2}  3.43566{col 51}{space 1}    1.41{col 60}{space 3}0.158{col 68}{space 4}-1.880184{col 81}{space 3} 11.58736
{txt}{space 16}region_mid {c |}{col 28}{res}{space 2}-1.965116{col 40}{space 2} 1.148588{col 51}{space 1}   -1.71{col 60}{space 3}0.087{col 68}{space 4}-4.216308{col 81}{space 3} .2860759
{txt}{space 15}region_west {c |}{col 28}{res}{space 2}-.2888405{col 40}{space 2} .6592276{col 51}{space 1}   -0.44{col 60}{space 3}0.661{col 68}{space 4}-1.580903{col 81}{space 3} 1.003222
{txt}{space 12}region_farwest {c |}{col 28}{res}{space 2} 1.913058{col 40}{space 2} .6947009{col 51}{space 1}    2.75{col 60}{space 3}0.006{col 68}{space 4} .5514693{col 81}{space 3} 3.274647
{txt}{space 26} {c |}
{space 23}sno {c |}
{space 24}2  {c |}{col 28}{res}{space 2}-1.109005{col 40}{space 2} 2.078339{col 51}{space 1}   -0.53{col 60}{space 3}0.594{col 68}{space 4}-5.182474{col 81}{space 3} 2.964463
{txt}{space 24}3  {c |}{col 28}{res}{space 2}-2.494067{col 40}{space 2} 3.100389{col 51}{space 1}   -0.80{col 60}{space 3}0.421{col 68}{space 4}-8.570718{col 81}{space 3} 3.582584
{txt}{space 24}4  {c |}{col 28}{res}{space 2}-2.864492{col 40}{space 2} 3.321119{col 51}{space 1}   -0.86{col 60}{space 3}0.388{col 68}{space 4}-9.373765{col 81}{space 3} 3.644781
{txt}{space 24}5  {c |}{col 28}{res}{space 2}-.7591866{col 40}{space 2} .5820136{col 51}{space 1}   -1.30{col 60}{space 3}0.192{col 68}{space 4}-1.899912{col 81}{space 3}  .381539
{txt}{space 24}6  {c |}{col 28}{res}{space 2} 1.010794{col 40}{space 2} .5892892{col 51}{space 1}    1.72{col 60}{space 3}0.086{col 68}{space 4} -.144192{col 81}{space 3} 2.165779
{txt}{space 24}7  {c |}{col 28}{res}{space 2}-.3983507{col 40}{space 2} 2.075564{col 51}{space 1}   -0.19{col 60}{space 3}0.848{col 68}{space 4}-4.466382{col 81}{space 3}  3.66968
{txt}{space 24}8  {c |}{col 28}{res}{space 2}-4.086066{col 40}{space 2} 4.039698{col 51}{space 1}   -1.01{col 60}{space 3}0.312{col 68}{space 4}-12.00373{col 81}{space 3} 3.831598
{txt}{space 24}9  {c |}{col 28}{res}{space 2}-5.632869{col 40}{space 2} 4.953324{col 51}{space 1}   -1.14{col 60}{space 3}0.255{col 68}{space 4} -15.3412{col 81}{space 3} 4.075467
{txt}{space 23}10  {c |}{col 28}{res}{space 2} -4.09714{col 40}{space 2} 3.315517{col 51}{space 1}   -1.24{col 60}{space 3}0.217{col 68}{space 4}-10.59543{col 81}{space 3} 2.401153
{txt}{space 23}11  {c |}{col 28}{res}{space 2}-2.597995{col 40}{space 2} 2.035612{col 51}{space 1}   -1.28{col 60}{space 3}0.202{col 68}{space 4}-6.587721{col 81}{space 3} 1.391731
{txt}{space 23}12  {c |}{col 28}{res}{space 2}-1.653797{col 40}{space 2} 1.710451{col 51}{space 1}   -0.97{col 60}{space 3}0.334{col 68}{space 4}-5.006219{col 81}{space 3} 1.698624
{txt}{space 23}13  {c |}{col 28}{res}{space 2}-3.034121{col 40}{space 2} 3.665853{col 51}{space 1}   -0.83{col 60}{space 3}0.408{col 68}{space 4}-10.21906{col 81}{space 3} 4.150819
{txt}{space 23}14  {c |}{col 28}{res}{space 2}-5.596163{col 40}{space 2} 4.987451{col 51}{space 1}   -1.12{col 60}{space 3}0.262{col 68}{space 4}-15.37139{col 81}{space 3} 4.179062
{txt}{space 23}15  {c |}{col 28}{res}{space 2} -4.43894{col 40}{space 2} 4.466556{col 51}{space 1}   -0.99{col 60}{space 3}0.320{col 68}{space 4}-13.19323{col 81}{space 3} 4.315348
{txt}{space 23}16  {c |}{col 28}{res}{space 2}-4.712661{col 40}{space 2}  3.44886{col 51}{space 1}   -1.37{col 60}{space 3}0.172{col 68}{space 4} -11.4723{col 81}{space 3} 2.046981
{txt}{space 23}17  {c |}{col 28}{res}{space 2} 10.67872{col 40}{space 2} 6.947082{col 51}{space 1}    1.54{col 60}{space 3}0.124{col 68}{space 4}-2.937314{col 81}{space 3} 24.29475
{txt}{space 23}18  {c |}{col 28}{res}{space 2} 8.629497{col 40}{space 2} 5.429318{col 51}{space 1}    1.59{col 60}{space 3}0.112{col 68}{space 4} -2.01177{col 81}{space 3} 19.27077
{txt}{space 23}19  {c |}{col 28}{res}{space 2} 8.697923{col 40}{space 2} 4.600781{col 51}{space 1}    1.89{col 60}{space 3}0.059{col 68}{space 4}-.3194419{col 81}{space 3} 17.71529
{txt}{space 23}20  {c |}{col 28}{res}{space 2} 3.409866{col 40}{space 2}  .988956{col 51}{space 1}    3.45{col 60}{space 3}0.001{col 68}{space 4} 1.471548{col 81}{space 3} 5.348185
{txt}{space 23}21  {c |}{col 28}{res}{space 2} 2.696906{col 40}{space 2} .9147925{col 51}{space 1}    2.95{col 60}{space 3}0.003{col 68}{space 4}  .903946{col 81}{space 3} 4.489867
{txt}{space 23}22  {c |}{col 28}{res}{space 2} 4.208558{col 40}{space 2} 2.386224{col 51}{space 1}    1.76{col 60}{space 3}0.078{col 68}{space 4}-.4683544{col 81}{space 3} 8.885471
{txt}{space 23}23  {c |}{col 28}{res}{space 2} 4.284493{col 40}{space 2} 1.908882{col 51}{space 1}    2.24{col 60}{space 3}0.025{col 68}{space 4} .5431537{col 81}{space 3} 8.025833
{txt}{space 23}24  {c |}{col 28}{res}{space 2} 5.064754{col 40}{space 2} 2.788003{col 51}{space 1}    1.82{col 60}{space 3}0.069{col 68}{space 4}-.3996319{col 81}{space 3} 10.52914
{txt}{space 23}25  {c |}{col 28}{res}{space 2} 4.706915{col 40}{space 2} 2.515653{col 51}{space 1}    1.87{col 60}{space 3}0.061{col 68}{space 4}-.2236749{col 81}{space 3} 9.637505
{txt}{space 23}26  {c |}{col 28}{res}{space 2} 7.027787{col 40}{space 2}  3.97834{col 51}{space 1}    1.77{col 60}{space 3}0.077{col 68}{space 4}-.7696161{col 81}{space 3} 14.82519
{txt}{space 23}27  {c |}{col 28}{res}{space 2} 5.310703{col 40}{space 2} 1.374941{col 51}{space 1}    3.86{col 60}{space 3}0.000{col 68}{space 4} 2.615869{col 81}{space 3} 8.005537
{txt}{space 23}28  {c |}{col 28}{res}{space 2} 18.90196{col 40}{space 2}  11.0895{col 51}{space 1}    1.70{col 60}{space 3}0.088{col 68}{space 4}-2.833063{col 81}{space 3} 40.63699
{txt}{space 23}29  {c |}{col 28}{res}{space 2} 30.37169{col 40}{space 2} 19.88923{col 51}{space 1}    1.53{col 60}{space 3}0.127{col 68}{space 4}-8.610478{col 81}{space 3} 69.35385
{txt}{space 23}30  {c |}{col 28}{res}{space 2} 40.13601{col 40}{space 2} 27.16768{col 51}{space 1}    1.48{col 60}{space 3}0.140{col 68}{space 4}-13.11167{col 81}{space 3} 93.38368
{txt}{space 23}31  {c |}{col 28}{res}{space 2} 9.056307{col 40}{space 2} 3.292341{col 51}{space 1}    2.75{col 60}{space 3}0.006{col 68}{space 4} 2.603438{col 81}{space 3} 15.50918
{txt}{space 23}32  {c |}{col 28}{res}{space 2} 5.379534{col 40}{space 2} 1.330707{col 51}{space 1}    4.04{col 60}{space 3}0.000{col 68}{space 4} 2.771396{col 81}{space 3} 7.987672
{txt}{space 23}33  {c |}{col 28}{res}{space 2} 1.505766{col 40}{space 2} .7201873{col 51}{space 1}    2.09{col 60}{space 3}0.037{col 68}{space 4} .0942247{col 81}{space 3} 2.917307
{txt}{space 23}34  {c |}{col 28}{res}{space 2}  6.42369{col 40}{space 2} 2.620343{col 51}{space 1}    2.45{col 60}{space 3}0.014{col 68}{space 4} 1.287911{col 81}{space 3} 11.55947
{txt}{space 23}35  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}36  {c |}{col 28}{res}{space 2} 6.817218{col 40}{space 2} 2.114591{col 51}{space 1}    3.22{col 60}{space 3}0.001{col 68}{space 4} 2.672696{col 81}{space 3} 10.96174
{txt}{space 23}37  {c |}{col 28}{res}{space 2} .9956988{col 40}{space 2} 1.499741{col 51}{space 1}    0.66{col 60}{space 3}0.507{col 68}{space 4}-1.943739{col 81}{space 3} 3.935137
{txt}{space 23}38  {c |}{col 28}{res}{space 2} 2.223803{col 40}{space 2} 1.183707{col 51}{space 1}    1.88{col 60}{space 3}0.060{col 68}{space 4}-.0962209{col 81}{space 3} 4.543827
{txt}{space 23}39  {c |}{col 28}{res}{space 2} 2.452989{col 40}{space 2} 1.101911{col 51}{space 1}    2.23{col 60}{space 3}0.026{col 68}{space 4} .2932831{col 81}{space 3} 4.612695
{txt}{space 23}40  {c |}{col 28}{res}{space 2} 5.071073{col 40}{space 2} 1.481501{col 51}{space 1}    3.42{col 60}{space 3}0.001{col 68}{space 4} 2.167386{col 81}{space 3} 7.974761
{txt}{space 23}41  {c |}{col 28}{res}{space 2} 1.138356{col 40}{space 2} 1.031361{col 51}{space 1}    1.10{col 60}{space 3}0.270{col 68}{space 4}-.8830731{col 81}{space 3} 3.159786
{txt}{space 23}42  {c |}{col 28}{res}{space 2} 1.848482{col 40}{space 2} 1.592071{col 51}{space 1}    1.16{col 60}{space 3}0.246{col 68}{space 4}-1.271919{col 81}{space 3} 4.968883
{txt}{space 23}43  {c |}{col 28}{res}{space 2} 5.071234{col 40}{space 2} 1.578687{col 51}{space 1}    3.21{col 60}{space 3}0.001{col 68}{space 4} 1.977064{col 81}{space 3} 8.165403
{txt}{space 23}44  {c |}{col 28}{res}{space 2} 1.791801{col 40}{space 2} 1.312614{col 51}{space 1}    1.37{col 60}{space 3}0.172{col 68}{space 4} -.780876{col 81}{space 3} 4.364478
{txt}{space 23}45  {c |}{col 28}{res}{space 2} 4.398795{col 40}{space 2} 1.189898{col 51}{space 1}    3.70{col 60}{space 3}0.000{col 68}{space 4} 2.066637{col 81}{space 3} 6.730953
{txt}{space 23}46  {c |}{col 28}{res}{space 2} 2.530069{col 40}{space 2} 1.054111{col 51}{space 1}    2.40{col 60}{space 3}0.016{col 68}{space 4} .4640486{col 81}{space 3} 4.596089
{txt}{space 23}47  {c |}{col 28}{res}{space 2} .9036458{col 40}{space 2} 1.762086{col 51}{space 1}    0.51{col 60}{space 3}0.608{col 68}{space 4}-2.549979{col 81}{space 3}  4.35727
{txt}{space 23}48  {c |}{col 28}{res}{space 2} 2.678515{col 40}{space 2} .9191965{col 51}{space 1}    2.91{col 60}{space 3}0.004{col 68}{space 4} .8769228{col 81}{space 3} 4.480107
{txt}{space 23}49  {c |}{col 28}{res}{space 2}-.0502667{col 40}{space 2} 1.770044{col 51}{space 1}   -0.03{col 60}{space 3}0.977{col 68}{space 4}-3.519489{col 81}{space 3} 3.418955
{txt}{space 23}50  {c |}{col 28}{res}{space 2} 1.725299{col 40}{space 2} 1.147789{col 51}{space 1}    1.50{col 60}{space 3}0.133{col 68}{space 4} -.524327{col 81}{space 3} 3.974925
{txt}{space 23}51  {c |}{col 28}{res}{space 2} 3.128237{col 40}{space 2} .8836098{col 51}{space 1}    3.54{col 60}{space 3}0.000{col 68}{space 4} 1.396393{col 81}{space 3}  4.86008
{txt}{space 23}52  {c |}{col 28}{res}{space 2}-.7191415{col 40}{space 2} 1.476363{col 51}{space 1}   -0.49{col 60}{space 3}0.626{col 68}{space 4} -3.61276{col 81}{space 3} 2.174477
{txt}{space 23}53  {c |}{col 28}{res}{space 2} 1.402644{col 40}{space 2} .8427085{col 51}{space 1}    1.66{col 60}{space 3}0.096{col 68}{space 4}-.2490345{col 81}{space 3} 3.054322
{txt}{space 23}54  {c |}{col 28}{res}{space 2}-1.205563{col 40}{space 2} 1.633839{col 51}{space 1}   -0.74{col 60}{space 3}0.461{col 68}{space 4}-4.407828{col 81}{space 3} 1.996703
{txt}{space 23}55  {c |}{col 28}{res}{space 2} 1.175747{col 40}{space 2} 1.000517{col 51}{space 1}    1.18{col 60}{space 3}0.240{col 68}{space 4}-.7852305{col 81}{space 3} 3.136724
{txt}{space 23}56  {c |}{col 28}{res}{space 2} .6564755{col 40}{space 2} .9321557{col 51}{space 1}    0.70{col 60}{space 3}0.481{col 68}{space 4}-1.170516{col 81}{space 3} 2.483467
{txt}{space 23}57  {c |}{col 28}{res}{space 2} 3.859157{col 40}{space 2} .8944313{col 51}{space 1}    4.31{col 60}{space 3}0.000{col 68}{space 4} 2.106104{col 81}{space 3}  5.61221
{txt}{space 23}58  {c |}{col 28}{res}{space 2} -1.84512{col 40}{space 2} 1.652647{col 51}{space 1}   -1.12{col 60}{space 3}0.264{col 68}{space 4} -5.08425{col 81}{space 3}  1.39401
{txt}{space 23}59  {c |}{col 28}{res}{space 2} .7941593{col 40}{space 2} .8010766{col 51}{space 1}    0.99{col 60}{space 3}0.322{col 68}{space 4} -.775922{col 81}{space 3} 2.364241
{txt}{space 23}60  {c |}{col 28}{res}{space 2} 1.589166{col 40}{space 2} .6279691{col 51}{space 1}    2.53{col 60}{space 3}0.011{col 68}{space 4} .3583688{col 81}{space 3} 2.819963
{txt}{space 23}61  {c |}{col 28}{res}{space 2} -.057658{col 40}{space 2} .5545772{col 51}{space 1}   -0.10{col 60}{space 3}0.917{col 68}{space 4}-1.144609{col 81}{space 3} 1.029293
{txt}{space 23}62  {c |}{col 28}{res}{space 2}-1.674238{col 40}{space 2} 1.768491{col 51}{space 1}   -0.95{col 60}{space 3}0.344{col 68}{space 4}-5.140417{col 81}{space 3} 1.791942
{txt}{space 23}63  {c |}{col 28}{res}{space 2} .7827345{col 40}{space 2} .5599355{col 51}{space 1}    1.40{col 60}{space 3}0.162{col 68}{space 4}-.3147188{col 81}{space 3} 1.880188
{txt}{space 23}64  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}65  {c |}{col 28}{res}{space 2}-1.043229{col 40}{space 2} .6680604{col 51}{space 1}   -1.56{col 60}{space 3}0.118{col 68}{space 4}-2.352603{col 81}{space 3} .2661454
{txt}{space 23}66  {c |}{col 28}{res}{space 2}-3.318581{col 40}{space 2} 1.261428{col 51}{space 1}   -2.63{col 60}{space 3}0.009{col 68}{space 4}-5.790934{col 81}{space 3}-.8462271
{txt}{space 23}67  {c |}{col 28}{res}{space 2}-.9963763{col 40}{space 2} .8366794{col 51}{space 1}   -1.19{col 60}{space 3}0.234{col 68}{space 4}-2.636238{col 81}{space 3} .6434852
{txt}{space 23}68  {c |}{col 28}{res}{space 2} -2.14251{col 40}{space 2} .6442891{col 51}{space 1}   -3.33{col 60}{space 3}0.001{col 68}{space 4}-3.405293{col 81}{space 3}-.8797267
{txt}{space 23}69  {c |}{col 28}{res}{space 2}-.7258738{col 40}{space 2} .6182337{col 51}{space 1}   -1.17{col 60}{space 3}0.240{col 68}{space 4} -1.93759{col 81}{space 3}  .485842
{txt}{space 23}70  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}71  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}72  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}73  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}74  {c |}{col 28}{res}{space 2}-.4187439{col 40}{space 2} .6906197{col 51}{space 1}   -0.61{col 60}{space 3}0.544{col 68}{space 4}-1.772334{col 81}{space 3} .9348459
{txt}{space 23}75  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2}-1.216333{col 40}{space 2} 2.875727{col 51}{space 1}   -0.42{col 60}{space 3}0.672{col 68}{space 4}-6.852654{col 81}{space 3} 4.419989
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 21}/ln_r {c |}{col 28}{res}{space 2} .2424502{col 40}{space 2} .2233307{col 68}{space 4}  -.19527{col 81}{space 3} .6801704
{txt}{space 21}/ln_s {c |}{col 28}{res}{space 2} 3.150156{col 40}{space 2} .3280118{col 68}{space 4} 2.507265{col 81}{space 3} 3.793047
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                         r {c |}{col 28}{res}{space 2} 1.274368{col 40}{space 2} .2846055{col 68}{space 4} .8226125{col 81}{space 3} 1.974214
{txt}                         s {c |}{col 28}{res}{space 2} 23.33971{col 40}{space 2} 7.655699{col 68}{space 4} 12.27132{col 81}{space 3} 44.39147
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{txt}LR test vs. pooled: {help j_chibar##|_new:chibar2(01) = }{res}0.00{col 56}{txt}Prob >= chibar2 = {res}1.000
{txt}
{com}. 
. xtnbreg total_court_cases lag_total_cases ln_cum_maoist_victims peoples_govt_active ln_pop percent_votes1991_1999_GAP   ln_newNGOs      ///
> litrate_1991_2001_GAP road_density_GAP year2002 hilli_region mountain_region region_east region_mid region_west region_farwest i.sno if year>1995 & year<2007 
{txt}note: 35.sno omitted because of collinearity
note: 64.sno omitted because of collinearity
note: 70.sno omitted because of collinearity
note: 71.sno omitted because of collinearity
note: 72.sno omitted because of collinearity
note: 73.sno omitted because of collinearity
note: 75.sno omitted because of collinearity

Fitting negative binomial (constant dispersion) model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-2403833.2}  
Iteration 1:{space 3}log likelihood = {res:-962884.19}  
Iteration 2:{space 3}log likelihood = {res:-350288.04}  
Iteration 3:{space 3}log likelihood = {res:-37209.922}  
Iteration 4:{space 3}log likelihood = {res:-21044.818}  
Iteration 5:{space 3}log likelihood = {res:-20819.794}  
Iteration 6:{space 3}log likelihood = {res:-20819.748}  
Iteration 7:{space 3}log likelihood = {res:-20819.748}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-299668.31}  
Iteration 1:{space 3}log likelihood = {res:-17080.989}  
Iteration 2:{space 3}log likelihood = {res:-7903.8285}  (backed up)
Iteration 3:{space 3}log likelihood = {res:-6575.5695}  
Iteration 4:{space 3}log likelihood = {res:-6486.5743}  
Iteration 5:{space 3}log likelihood = {res:-6478.1043}  
Iteration 6:{space 3}log likelihood = {res:-6478.0828}  
Iteration 7:{space 3}log likelihood = {res:-6478.0828}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-6478.0828}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-6341.9231}  (not concave)
Iteration 2:{space 3}log likelihood = {res:-6132.8848}  (not concave)
Iteration 3:{space 3}log likelihood = {res:-5718.6394}  
Iteration 4:{space 3}log likelihood = {res:-5387.8647}  (backed up)
Iteration 5:{space 3}log likelihood = {res:-5206.1624}  
Iteration 6:{space 3}log likelihood = {res:-5171.2045}  
Iteration 7:{space 3}log likelihood = {res:-5170.2597}  
Iteration 8:{space 3}log likelihood = {res: -5170.256}  
Iteration 9:{space 3}log likelihood = {res: -5170.256}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-12752.068}  (not concave)
Iteration 1:{space 3}log likelihood = {res: -7607.225}  (not concave)
Iteration 2:{space 3}log likelihood = {res:-6810.1794}  (not concave)
Iteration 3:{space 3}log likelihood = {res:-6212.6172}  (not concave)
Iteration 4:{space 3}log likelihood = {res:-5556.9195}  (not concave)
Iteration 5:{space 3}log likelihood = {res:-5367.1528}  
Iteration 6:{space 3}log likelihood = {res:-5281.6114}  
Iteration 7:{space 3}log likelihood = {res:-5218.9505}  (not concave)
Iteration 8:{space 3}log likelihood = {res:-5215.2489}  
Iteration 9:{space 3}log likelihood = {res:-5208.4667}  
Iteration 10:{space 2}log likelihood = {res:-5206.1992}  
Iteration 11:{space 2}log likelihood = {res:-5206.1766}  
Iteration 12:{space 2}log likelihood = {res:-5206.1766}  
{res}
{txt}Random-effects negative binomial regression{col 49}Number of obs{col 67}={col 69}{res}       825
{txt}Group variable: {res}sno{col 49}{txt}Number of groups{col 67}={col 69}{res}        75

{txt}Random effects u_i ~ {res}Beta{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        11
{txt}{col 63}avg{col 67}={col 69}{res}      11.0
{txt}{col 63}max{col 67}={col 69}{res}        11

{txt}{col 49}Wald chi2({res}82{txt}){col 67}={col 70}{res}  2118.01
{txt}Log likelihood  = {res}-5206.1766{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         total_court_cases{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}lag_total_cases {c |}{col 28}{res}{space 2} .0001018{col 40}{space 2} .0000263{col 51}{space 1}    3.88{col 60}{space 3}0.000{col 68}{space 4} .0000503{col 81}{space 3} .0001532
{txt}{space 5}ln_cum_maoist_victims {c |}{col 28}{res}{space 2} -.078138{col 40}{space 2} .0132155{col 51}{space 1}   -5.91{col 60}{space 3}0.000{col 68}{space 4}-.1040399{col 81}{space 3}-.0522362
{txt}{space 7}peoples_govt_active {c |}{col 28}{res}{space 2}-.1967373{col 40}{space 2} .0346784{col 51}{space 1}   -5.67{col 60}{space 3}0.000{col 68}{space 4}-.2647056{col 81}{space 3} -.128769
{txt}{space 20}ln_pop {c |}{col 28}{res}{space 2}  -.10882{col 40}{space 2} .1735832{col 51}{space 1}   -0.63{col 60}{space 3}0.531{col 68}{space 4}-.4490368{col 81}{space 3} .2313968
{txt}percent_votes1991_1999_GAP {c |}{col 28}{res}{space 2} .0000698{col 40}{space 2} .0048868{col 51}{space 1}    0.01{col 60}{space 3}0.989{col 68}{space 4}-.0095082{col 81}{space 3} .0096478
{txt}{space 16}ln_newNGOs {c |}{col 28}{res}{space 2} .0150944{col 40}{space 2} .0204812{col 51}{space 1}    0.74{col 60}{space 3}0.461{col 68}{space 4}-.0250481{col 81}{space 3} .0552368
{txt}{space 5}litrate_1991_2001_GAP {c |}{col 28}{res}{space 2} .0088263{col 40}{space 2} .0037365{col 51}{space 1}    2.36{col 60}{space 3}0.018{col 68}{space 4} .0015029{col 81}{space 3} .0161497
{txt}{space 10}road_density_GAP {c |}{col 28}{res}{space 2}-19.43236{col 40}{space 2}   13.864{col 51}{space 1}   -1.40{col 60}{space 3}0.161{col 68}{space 4} -46.6053{col 81}{space 3} 7.740568
{txt}{space 18}year2002 {c |}{col 28}{res}{space 2} .0161226{col 40}{space 2} .0383976{col 51}{space 1}    0.42{col 60}{space 3}0.675{col 68}{space 4}-.0591352{col 81}{space 3} .0913804
{txt}{space 14}hilli_region {c |}{col 28}{res}{space 2}-2.595173{col 40}{space 2} .5624671{col 51}{space 1}   -4.61{col 60}{space 3}0.000{col 68}{space 4}-3.697589{col 81}{space 3}-1.492758
{txt}{space 11}mountain_region {c |}{col 28}{res}{space 2}-4.570109{col 40}{space 2} 1.814402{col 51}{space 1}   -2.52{col 60}{space 3}0.012{col 68}{space 4}-8.126273{col 81}{space 3}-1.013946
{txt}{space 15}region_east {c |}{col 28}{res}{space 2} 5.425901{col 40}{space 2}  3.48339{col 51}{space 1}    1.56{col 60}{space 3}0.119{col 68}{space 4}-1.401418{col 81}{space 3} 12.25322
{txt}{space 16}region_mid {c |}{col 28}{res}{space 2}-2.540006{col 40}{space 2} 1.157866{col 51}{space 1}   -2.19{col 60}{space 3}0.028{col 68}{space 4}-4.809381{col 81}{space 3} -.270631
{txt}{space 15}region_west {c |}{col 28}{res}{space 2}-.7127975{col 40}{space 2} .6514975{col 51}{space 1}   -1.09{col 60}{space 3}0.274{col 68}{space 4}-1.989709{col 81}{space 3}  .564114
{txt}{space 12}region_farwest {c |}{col 28}{res}{space 2} 2.052151{col 40}{space 2} .6936067{col 51}{space 1}    2.96{col 60}{space 3}0.003{col 68}{space 4} .6927066{col 81}{space 3} 3.411595
{txt}{space 26} {c |}
{space 23}sno {c |}
{space 24}2  {c |}{col 28}{res}{space 2}-1.282688{col 40}{space 2} 2.113124{col 51}{space 1}   -0.61{col 60}{space 3}0.544{col 68}{space 4}-5.424336{col 81}{space 3} 2.858959
{txt}{space 24}3  {c |}{col 28}{res}{space 2}-3.098016{col 40}{space 2} 3.152495{col 51}{space 1}   -0.98{col 60}{space 3}0.326{col 68}{space 4}-9.276793{col 81}{space 3}  3.08076
{txt}{space 24}4  {c |}{col 28}{res}{space 2} -3.27685{col 40}{space 2} 3.367249{col 51}{space 1}   -0.97{col 60}{space 3}0.330{col 68}{space 4}-9.876538{col 81}{space 3} 3.322838
{txt}{space 24}5  {c |}{col 28}{res}{space 2}-.6144173{col 40}{space 2} .5958975{col 51}{space 1}   -1.03{col 60}{space 3}0.303{col 68}{space 4}-1.782355{col 81}{space 3} .5535203
{txt}{space 24}6  {c |}{col 28}{res}{space 2} .9993364{col 40}{space 2} .6075506{col 51}{space 1}    1.64{col 60}{space 3}0.100{col 68}{space 4} -.191441{col 81}{space 3} 2.190114
{txt}{space 24}7  {c |}{col 28}{res}{space 2}-.7040437{col 40}{space 2} 2.106311{col 51}{space 1}   -0.33{col 60}{space 3}0.738{col 68}{space 4}-4.832337{col 81}{space 3} 3.424249
{txt}{space 24}8  {c |}{col 28}{res}{space 2}-4.773249{col 40}{space 2} 4.111531{col 51}{space 1}   -1.16{col 60}{space 3}0.246{col 68}{space 4} -12.8317{col 81}{space 3} 3.285203
{txt}{space 24}9  {c |}{col 28}{res}{space 2}-6.185778{col 40}{space 2} 5.038459{col 51}{space 1}   -1.23{col 60}{space 3}0.220{col 68}{space 4}-16.06098{col 81}{space 3}  3.68942
{txt}{space 23}10  {c |}{col 28}{res}{space 2}-4.469216{col 40}{space 2} 3.360506{col 51}{space 1}   -1.33{col 60}{space 3}0.184{col 68}{space 4}-11.05569{col 81}{space 3} 2.117254
{txt}{space 23}11  {c |}{col 28}{res}{space 2}-2.956452{col 40}{space 2} 2.069725{col 51}{space 1}   -1.43{col 60}{space 3}0.153{col 68}{space 4}-7.013038{col 81}{space 3} 1.100134
{txt}{space 23}12  {c |}{col 28}{res}{space 2}-1.695992{col 40}{space 2} 1.738697{col 51}{space 1}   -0.98{col 60}{space 3}0.329{col 68}{space 4}-5.103776{col 81}{space 3} 1.711791
{txt}{space 23}13  {c |}{col 28}{res}{space 2}-3.098183{col 40}{space 2} 3.723358{col 51}{space 1}   -0.83{col 60}{space 3}0.405{col 68}{space 4}-10.39583{col 81}{space 3} 4.199464
{txt}{space 23}14  {c |}{col 28}{res}{space 2}-6.078213{col 40}{space 2} 5.070993{col 51}{space 1}   -1.20{col 60}{space 3}0.231{col 68}{space 4}-16.01718{col 81}{space 3} 3.860751
{txt}{space 23}15  {c |}{col 28}{res}{space 2}-4.995018{col 40}{space 2} 4.544094{col 51}{space 1}   -1.10{col 60}{space 3}0.272{col 68}{space 4}-13.90128{col 81}{space 3} 3.911243
{txt}{space 23}16  {c |}{col 28}{res}{space 2} -5.11096{col 40}{space 2} 3.496689{col 51}{space 1}   -1.46{col 60}{space 3}0.144{col 68}{space 4}-11.96434{col 81}{space 3} 1.742424
{txt}{space 23}17  {c |}{col 28}{res}{space 2} 11.95485{col 40}{space 2} 7.075097{col 51}{space 1}    1.69{col 60}{space 3}0.091{col 68}{space 4}-1.912082{col 81}{space 3} 25.82179
{txt}{space 23}18  {c |}{col 28}{res}{space 2} 9.491228{col 40}{space 2} 5.522253{col 51}{space 1}    1.72{col 60}{space 3}0.086{col 68}{space 4}-1.332188{col 81}{space 3} 20.31464
{txt}{space 23}19  {c |}{col 28}{res}{space 2}  9.12476{col 40}{space 2} 4.675879{col 51}{space 1}    1.95{col 60}{space 3}0.051{col 68}{space 4}-.0397951{col 81}{space 3} 18.28932
{txt}{space 23}20  {c |}{col 28}{res}{space 2} 4.286688{col 40}{space 2} .9573876{col 51}{space 1}    4.48{col 60}{space 3}0.000{col 68}{space 4} 2.410243{col 81}{space 3} 6.163133
{txt}{space 23}21  {c |}{col 28}{res}{space 2} 3.473774{col 40}{space 2} .8904493{col 51}{space 1}    3.90{col 60}{space 3}0.000{col 68}{space 4} 1.728525{col 81}{space 3} 5.219022
{txt}{space 23}22  {c |}{col 28}{res}{space 2} 5.292221{col 40}{space 2} 2.422731{col 51}{space 1}    2.18{col 60}{space 3}0.029{col 68}{space 4} .5437554{col 81}{space 3} 10.04069
{txt}{space 23}23  {c |}{col 28}{res}{space 2} 4.787833{col 40}{space 2} 1.931415{col 51}{space 1}    2.48{col 60}{space 3}0.013{col 68}{space 4}  1.00233{col 81}{space 3} 8.573336
{txt}{space 23}24  {c |}{col 28}{res}{space 2} 5.826453{col 40}{space 2} 2.832753{col 51}{space 1}    2.06{col 60}{space 3}0.040{col 68}{space 4} .2743589{col 81}{space 3} 11.37855
{txt}{space 23}25  {c |}{col 28}{res}{space 2} 5.073181{col 40}{space 2} 2.550252{col 51}{space 1}    1.99{col 60}{space 3}0.047{col 68}{space 4} .0747793{col 81}{space 3} 10.07158
{txt}{space 23}26  {c |}{col 28}{res}{space 2} 8.116211{col 40}{space 2} 4.057808{col 51}{space 1}    2.00{col 60}{space 3}0.045{col 68}{space 4}  .163053{col 81}{space 3} 16.06937
{txt}{space 23}27  {c |}{col 28}{res}{space 2} 6.381088{col 40}{space 2} 1.370954{col 51}{space 1}    4.65{col 60}{space 3}0.000{col 68}{space 4} 3.694067{col 81}{space 3} 9.068109
{txt}{space 23}28  {c |}{col 28}{res}{space 2} 19.86462{col 40}{space 2} 11.26787{col 51}{space 1}    1.76{col 60}{space 3}0.078{col 68}{space 4}-2.220002{col 81}{space 3} 41.94924
{txt}{space 23}29  {c |}{col 28}{res}{space 2} 32.20492{col 40}{space 2} 20.23031{col 51}{space 1}    1.59{col 60}{space 3}0.111{col 68}{space 4}-7.445762{col 81}{space 3} 71.85561
{txt}{space 23}30  {c |}{col 28}{res}{space 2} 42.11899{col 40}{space 2} 27.62135{col 51}{space 1}    1.52{col 60}{space 3}0.127{col 68}{space 4}-12.01786{col 81}{space 3} 96.25584
{txt}{space 23}31  {c |}{col 28}{res}{space 2} 10.37796{col 40}{space 2} 3.354202{col 51}{space 1}    3.09{col 60}{space 3}0.002{col 68}{space 4} 3.803844{col 81}{space 3} 16.95207
{txt}{space 23}32  {c |}{col 28}{res}{space 2}  6.61583{col 40}{space 2} 1.339341{col 51}{space 1}    4.94{col 60}{space 3}0.000{col 68}{space 4}  3.99077{col 81}{space 3} 9.240889
{txt}{space 23}33  {c |}{col 28}{res}{space 2} 2.237729{col 40}{space 2} .6961725{col 51}{space 1}    3.21{col 60}{space 3}0.001{col 68}{space 4} .8732555{col 81}{space 3} 3.602202
{txt}{space 23}34  {c |}{col 28}{res}{space 2} 7.156076{col 40}{space 2} 2.657562{col 51}{space 1}    2.69{col 60}{space 3}0.007{col 68}{space 4}  1.94735{col 81}{space 3}  12.3648
{txt}{space 23}35  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}36  {c |}{col 28}{res}{space 2} 7.567327{col 40}{space 2} 2.131731{col 51}{space 1}    3.55{col 60}{space 3}0.000{col 68}{space 4} 3.389211{col 81}{space 3} 11.74544
{txt}{space 23}37  {c |}{col 28}{res}{space 2} 1.511738{col 40}{space 2} 1.499058{col 51}{space 1}    1.01{col 60}{space 3}0.313{col 68}{space 4}-1.426362{col 81}{space 3} 4.449837
{txt}{space 23}38  {c |}{col 28}{res}{space 2}  2.53145{col 40}{space 2} 1.189179{col 51}{space 1}    2.13{col 60}{space 3}0.033{col 68}{space 4} .2007025{col 81}{space 3} 4.862198
{txt}{space 23}39  {c |}{col 28}{res}{space 2} 3.435478{col 40}{space 2} 1.050122{col 51}{space 1}    3.27{col 60}{space 3}0.001{col 68}{space 4} 1.377277{col 81}{space 3} 5.493679
{txt}{space 23}40  {c |}{col 28}{res}{space 2} 5.923935{col 40}{space 2} 1.472687{col 51}{space 1}    4.02{col 60}{space 3}0.000{col 68}{space 4} 3.037522{col 81}{space 3} 8.810349
{txt}{space 23}41  {c |}{col 28}{res}{space 2} 1.502553{col 40}{space 2} 1.025537{col 51}{space 1}    1.47{col 60}{space 3}0.143{col 68}{space 4}-.5074633{col 81}{space 3} 3.512568
{txt}{space 23}42  {c |}{col 28}{res}{space 2} 3.151657{col 40}{space 2} 1.574405{col 51}{space 1}    2.00{col 60}{space 3}0.045{col 68}{space 4} .0658799{col 81}{space 3} 6.237433
{txt}{space 23}43  {c |}{col 28}{res}{space 2} 5.556286{col 40}{space 2} 1.573924{col 51}{space 1}    3.53{col 60}{space 3}0.000{col 68}{space 4} 2.471451{col 81}{space 3} 8.641121
{txt}{space 23}44  {c |}{col 28}{res}{space 2} 2.577809{col 40}{space 2} 1.302758{col 51}{space 1}    1.98{col 60}{space 3}0.048{col 68}{space 4} .0244504{col 81}{space 3} 5.131168
{txt}{space 23}45  {c |}{col 28}{res}{space 2} 5.150605{col 40}{space 2} 1.186611{col 51}{space 1}    4.34{col 60}{space 3}0.000{col 68}{space 4} 2.824891{col 81}{space 3} 7.476319
{txt}{space 23}46  {c |}{col 28}{res}{space 2}  3.38454{col 40}{space 2} 1.031073{col 51}{space 1}    3.28{col 60}{space 3}0.001{col 68}{space 4} 1.363675{col 81}{space 3} 5.405406
{txt}{space 23}47  {c |}{col 28}{res}{space 2} 1.517312{col 40}{space 2}  1.77031{col 51}{space 1}    0.86{col 60}{space 3}0.391{col 68}{space 4}-1.952433{col 81}{space 3} 4.987056
{txt}{space 23}48  {c |}{col 28}{res}{space 2} 3.272096{col 40}{space 2} .9063609{col 51}{space 1}    3.61{col 60}{space 3}0.000{col 68}{space 4} 1.495661{col 81}{space 3} 5.048531
{txt}{space 23}49  {c |}{col 28}{res}{space 2}  .227142{col 40}{space 2} 1.798803{col 51}{space 1}    0.13{col 60}{space 3}0.900{col 68}{space 4}-3.298448{col 81}{space 3} 3.752731
{txt}{space 23}50  {c |}{col 28}{res}{space 2} 1.850374{col 40}{space 2} 1.150088{col 51}{space 1}    1.61{col 60}{space 3}0.108{col 68}{space 4}-.4037578{col 81}{space 3} 4.104506
{txt}{space 23}51  {c |}{col 28}{res}{space 2} 3.308859{col 40}{space 2} .8786746{col 51}{space 1}    3.77{col 60}{space 3}0.000{col 68}{space 4} 1.586688{col 81}{space 3} 5.031029
{txt}{space 23}52  {c |}{col 28}{res}{space 2}-.7274791{col 40}{space 2} 1.496249{col 51}{space 1}   -0.49{col 60}{space 3}0.627{col 68}{space 4}-3.660074{col 81}{space 3} 2.205116
{txt}{space 23}53  {c |}{col 28}{res}{space 2} 1.540691{col 40}{space 2} .8439276{col 51}{space 1}    1.83{col 60}{space 3}0.068{col 68}{space 4}-.1133764{col 81}{space 3} 3.194759
{txt}{space 23}54  {c |}{col 28}{res}{space 2}-1.190977{col 40}{space 2} 1.656959{col 51}{space 1}   -0.72{col 60}{space 3}0.472{col 68}{space 4}-4.438558{col 81}{space 3} 2.056603
{txt}{space 23}55  {c |}{col 28}{res}{space 2} 1.376501{col 40}{space 2} 1.006623{col 51}{space 1}    1.37{col 60}{space 3}0.171{col 68}{space 4}-.5964439{col 81}{space 3} 3.349445
{txt}{space 23}56  {c |}{col 28}{res}{space 2} .8956353{col 40}{space 2}  .928714{col 51}{space 1}    0.96{col 60}{space 3}0.335{col 68}{space 4}-.9246106{col 81}{space 3} 2.715881
{txt}{space 23}57  {c |}{col 28}{res}{space 2} 4.112043{col 40}{space 2} .8781129{col 51}{space 1}    4.68{col 60}{space 3}0.000{col 68}{space 4} 2.390973{col 81}{space 3} 5.833112
{txt}{space 23}58  {c |}{col 28}{res}{space 2}-1.758481{col 40}{space 2} 1.677248{col 51}{space 1}   -1.05{col 60}{space 3}0.294{col 68}{space 4}-5.045826{col 81}{space 3} 1.528863
{txt}{space 23}59  {c |}{col 28}{res}{space 2} 1.138529{col 40}{space 2} .7969833{col 51}{space 1}    1.43{col 60}{space 3}0.153{col 68}{space 4}  -.42353{col 81}{space 3} 2.700587
{txt}{space 23}60  {c |}{col 28}{res}{space 2} 1.410751{col 40}{space 2} .6280103{col 51}{space 1}    2.25{col 60}{space 3}0.025{col 68}{space 4} .1798731{col 81}{space 3} 2.641628
{txt}{space 23}61  {c |}{col 28}{res}{space 2}  .060313{col 40}{space 2} .5554893{col 51}{space 1}    0.11{col 60}{space 3}0.914{col 68}{space 4}-1.028426{col 81}{space 3} 1.149052
{txt}{space 23}62  {c |}{col 28}{res}{space 2}-1.843601{col 40}{space 2} 1.801834{col 51}{space 1}   -1.02{col 60}{space 3}0.306{col 68}{space 4}-5.375131{col 81}{space 3}  1.68793
{txt}{space 23}63  {c |}{col 28}{res}{space 2} .5277206{col 40}{space 2} .5601597{col 51}{space 1}    0.94{col 60}{space 3}0.346{col 68}{space 4}-.5701723{col 81}{space 3} 1.625613
{txt}{space 23}64  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}65  {c |}{col 28}{res}{space 2}-.8580579{col 40}{space 2} .6562438{col 51}{space 1}   -1.31{col 60}{space 3}0.191{col 68}{space 4}-2.144272{col 81}{space 3} .4281563
{txt}{space 23}66  {c |}{col 28}{res}{space 2} -3.11634{col 40}{space 2} 1.283093{col 51}{space 1}   -2.43{col 60}{space 3}0.015{col 68}{space 4}-5.631155{col 81}{space 3}-.6015243
{txt}{space 23}67  {c |}{col 28}{res}{space 2}-.8184542{col 40}{space 2} .8476883{col 51}{space 1}   -0.97{col 60}{space 3}0.334{col 68}{space 4}-2.479893{col 81}{space 3} .8429844
{txt}{space 23}68  {c |}{col 28}{res}{space 2}-2.127036{col 40}{space 2}   .64392{col 51}{space 1}   -3.30{col 60}{space 3}0.001{col 68}{space 4}-3.389096{col 81}{space 3}-.8649763
{txt}{space 23}69  {c |}{col 28}{res}{space 2}-.6259934{col 40}{space 2} .6160186{col 51}{space 1}   -1.02{col 60}{space 3}0.310{col 68}{space 4}-1.833368{col 81}{space 3}  .581381
{txt}{space 23}70  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}71  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}72  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}73  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}74  {c |}{col 28}{res}{space 2}-.9419205{col 40}{space 2} .6904637{col 51}{space 1}   -1.36{col 60}{space 3}0.173{col 68}{space 4}-2.295204{col 81}{space 3} .4113634
{txt}{space 23}75  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2} 3.074348{col 40}{space 2} 2.469241{col 51}{space 1}    1.25{col 60}{space 3}0.213{col 68}{space 4}-1.765276{col 81}{space 3} 7.913972
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 21}/ln_r {c |}{col 28}{res}{space 2} .1893145{col 40}{space 2} .2202716{col 68}{space 4}-.2424098{col 81}{space 3} .6210388
{txt}{space 21}/ln_s {c |}{col 28}{res}{space 2} 3.117566{col 40}{space 2} .3282764{col 68}{space 4} 2.474156{col 81}{space 3} 3.760976
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                         r {c |}{col 28}{res}{space 2} 1.208421{col 40}{space 2} .2661808{col 68}{space 4} .7847345{col 81}{space 3}  1.86086
{txt}                         s {c |}{col 28}{res}{space 2} 22.59132{col 40}{space 2} 7.416196{col 68}{space 4} 11.87168{col 81}{space 3} 42.99035
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{txt}LR test vs. pooled: {help j_chibar##|_new:chibar2(01) = }{res}0.00{col 56}{txt}Prob >= chibar2 = {res}1.000
{txt}
{com}. 
.   
. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\mjoshi2\Box\2023 Research\NEPAL RESEARCH\Nepal court conflict research\Paper2\Political Geography\RR1\Replication\Final Data\Joshi_2024_PGReplications.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}18 Dec 2023, 09:52:15
{txt}{.-}
{smcl}
{txt}{sf}{ul off}